{ "cells": [ { "cell_type": "markdown", "id": "black-point", "metadata": {}, "source": [ "# Create a data product\n", "\n", "Spatial signatures in Great Britain are released as a data product. \n", "\n", "This notebook takes the generated results and turn them into clean outputs." ] }, { "cell_type": "code", "execution_count": null, "id": "hispanic-stewart", "metadata": {}, "outputs": [], "source": [ "# we need the master version of dask geopandas that has sjoin and recent dask\n", "!pip install git+https://github.com/geopandas/dask-geopandas.git" ] }, { "cell_type": "code", "execution_count": 1, "id": "commercial-flood", "metadata": {}, "outputs": [], "source": [ "import pandas\n", "import dask.dataframe\n", "import dask\n", "import geopandas\n", "import dask_geopandas " ] }, { "cell_type": "code", "execution_count": 2, "id": "searching-atlanta", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'v0.1.0a4+16.gf18ae2c'" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dask_geopandas.__version__" ] }, { "cell_type": "markdown", "id": "widespread-title", "metadata": {}, "source": [ "## Signature geometry\n", "\n", "We create an output with signature geometry and clear columns." ] }, { "cell_type": "code", "execution_count": 2, "id": "adverse-tracy", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
kmeans10gbgeometrylevel2signature_type
00POLYGON Z ((62220.000 798500.000 0.000, 62110....0.00_0
10POLYGON Z ((63507.682 796515.169 0.000, 63471....0.00_0
20POLYGON Z ((65953.174 802246.172 0.000, 65950....0.00_0
30POLYGON Z ((67297.740 803435.800 0.000, 67220....0.00_0
40POLYGON Z ((75760.000 852670.000 0.000, 75700....0.00_0
\n", "
" ], "text/plain": [ " kmeans10gb geometry level2 \\\n", "0 0 POLYGON Z ((62220.000 798500.000 0.000, 62110.... 0.0 \n", "1 0 POLYGON Z ((63507.682 796515.169 0.000, 63471.... 0.0 \n", "2 0 POLYGON Z ((65953.174 802246.172 0.000, 65950.... 0.0 \n", "3 0 POLYGON Z ((67297.740 803435.800 0.000, 67220.... 0.0 \n", "4 0 POLYGON Z ((75760.000 852670.000 0.000, 75700.... 0.0 \n", "\n", " signature_type \n", "0 0_0 \n", "1 0_0 \n", "2 0_0 \n", "3 0_0 \n", "4 0_0 " ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "signatures = geopandas.read_parquet(\"../../urbangrammar_samba/spatial_signatures/signatures/signatures_combined_levels_orig.pq\")\n", "signatures.head()" ] }, { "cell_type": "code", "execution_count": 3, "id": "chubby-consultancy", "metadata": {}, "outputs": [], "source": [ "types = {\n", " \"0_0\": \"Countryside agriculture\",\n", " \"1_0\": \"Accessible suburbia\",\n", " \"3_0\": \"Open sprawl\",\n", " \"4_0\": \"Wild countryside\",\n", " \"5_0\": \"Warehouse/Park land\",\n", " \"6_0\": \"Gridded residential quarters\",\n", " \"7_0\": \"Urban buffer\",\n", " \"8_0\": \"Disconnected suburbia\",\n", " \"2_0\": \"Dense residential neighbourhoods\",\n", " \"2_1\": \"Connected residential neighbourhoods\",\n", " \"2_2\": \"Dense urban neighbourhoods\",\n", " \"9_0\": \"Local urbanity\",\n", " \"9_1\": \"Concentrated urbanity\",\n", " \"9_2\": \"Regional urbanity\",\n", " \"9_4\": \"Metropolitan urbanity\",\n", " \"9_5\": \"Hyper concentrated urbanity\",\n", " \"9_3\": \"outlier\",\n", " \"9_6\": \"outlier\",\n", " \"9_7\": \"outlier\",\n", " \"9_8\": \"outlier\",\n", "}" ] }, { "cell_type": "code", "execution_count": 4, "id": "assumed-medicine", "metadata": {}, "outputs": [], "source": [ "signatures[\"type\"] = signatures.signature_type.map(types)\n", "signatures[\"id\"] = range(len(signatures))" ] }, { "cell_type": "code", "execution_count": 5, "id": "optical-queen", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
kmeans10gbgeometrylevel2signature_typetypeid
00POLYGON Z ((62220.000 798500.000 0.000, 62110....0.00_0Countryside agriculture0
10POLYGON Z ((63507.682 796515.169 0.000, 63471....0.00_0Countryside agriculture1
20POLYGON Z ((65953.174 802246.172 0.000, 65950....0.00_0Countryside agriculture2
30POLYGON Z ((67297.740 803435.800 0.000, 67220....0.00_0Countryside agriculture3
40POLYGON Z ((75760.000 852670.000 0.000, 75700....0.00_0Countryside agriculture4
\n", "
" ], "text/plain": [ " kmeans10gb geometry level2 \\\n", "0 0 POLYGON Z ((62220.000 798500.000 0.000, 62110.... 0.0 \n", "1 0 POLYGON Z ((63507.682 796515.169 0.000, 63471.... 0.0 \n", "2 0 POLYGON Z ((65953.174 802246.172 0.000, 65950.... 0.0 \n", "3 0 POLYGON Z ((67297.740 803435.800 0.000, 67220.... 0.0 \n", "4 0 POLYGON Z ((75760.000 852670.000 0.000, 75700.... 0.0 \n", "\n", " signature_type type id \n", "0 0_0 Countryside agriculture 0 \n", "1 0_0 Countryside agriculture 1 \n", "2 0_0 Countryside agriculture 2 \n", "3 0_0 Countryside agriculture 3 \n", "4 0_0 Countryside agriculture 4 " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "signatures.head()" ] }, { "cell_type": "code", "execution_count": 6, "id": "apparent-infrared", "metadata": {}, "outputs": [], "source": [ "signatures = signatures[[\"id\", \"type\", \"geometry\"]]" ] }, { "cell_type": "code", "execution_count": 7, "id": "charged-delight", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
idtypegeometry
00Countryside agriculturePOLYGON Z ((62220.000 798500.000 0.000, 62110....
11Countryside agriculturePOLYGON Z ((63507.682 796515.169 0.000, 63471....
22Countryside agriculturePOLYGON Z ((65953.174 802246.172 0.000, 65950....
33Countryside agriculturePOLYGON Z ((67297.740 803435.800 0.000, 67220....
44Countryside agriculturePOLYGON Z ((75760.000 852670.000 0.000, 75700....
............
9669996699outlierPOLYGON ((323321.005 463795.416, 323319.842 46...
9670096700outlierPOLYGON ((325929.840 1008792.061, 325927.377 1...
9670196701outlierPOLYGON ((337804.770 1013422.583, 337800.122 1...
9670296702outlierPOLYGON ((422304.270 1147826.990, 422296.000 1...
9670396703outlierPOLYGON ((525396.260 439215.480, 525360.920 43...
\n", "

96704 rows × 3 columns

\n", "
" ], "text/plain": [ " id type \\\n", "0 0 Countryside agriculture \n", "1 1 Countryside agriculture \n", "2 2 Countryside agriculture \n", "3 3 Countryside agriculture \n", "4 4 Countryside agriculture \n", "... ... ... \n", "96699 96699 outlier \n", "96700 96700 outlier \n", "96701 96701 outlier \n", "96702 96702 outlier \n", "96703 96703 outlier \n", "\n", " geometry \n", "0 POLYGON Z ((62220.000 798500.000 0.000, 62110.... \n", "1 POLYGON Z ((63507.682 796515.169 0.000, 63471.... \n", "2 POLYGON Z ((65953.174 802246.172 0.000, 65950.... \n", "3 POLYGON Z ((67297.740 803435.800 0.000, 67220.... \n", "4 POLYGON Z ((75760.000 852670.000 0.000, 75700.... \n", "... ... \n", "96699 POLYGON ((323321.005 463795.416, 323319.842 46... \n", "96700 POLYGON ((325929.840 1008792.061, 325927.377 1... \n", "96701 POLYGON ((337804.770 1013422.583, 337800.122 1... \n", "96702 POLYGON ((422304.270 1147826.990, 422296.000 1... \n", "96703 POLYGON ((525396.260 439215.480, 525360.920 43... \n", "\n", "[96704 rows x 3 columns]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "signatures" ] }, { "cell_type": "markdown", "id": "blocked-opposition", "metadata": {}, "source": [ "### Remove Z coordinates\n", "\n", "Some polygons contain Z coordinates that are not needed." ] }, { "cell_type": "code", "execution_count": 8, "id": "opening-tutorial", "metadata": {}, "outputs": [], "source": [ "import pygeos" ] }, { "cell_type": "code", "execution_count": 9, "id": "christian-access", "metadata": {}, "outputs": [], "source": [ "signatures[\"geometry\"] = pygeos.apply(signatures.geometry.values.data, lambda x: x, include_z=False)" ] }, { "cell_type": "code", "execution_count": 10, "id": "sorted-underwear", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
idtypegeometry
00Countryside agriculturePOLYGON ((62220.000 798500.000, 62110.000 7985...
11Countryside agriculturePOLYGON ((63507.682 796515.169, 63471.097 7965...
22Countryside agriculturePOLYGON ((65953.174 802246.172, 65950.620 8022...
33Countryside agriculturePOLYGON ((67297.740 803435.800, 67220.289 8034...
44Countryside agriculturePOLYGON ((75760.000 852670.000, 75700.000 8527...
............
9669996699outlierPOLYGON ((323321.005 463795.416, 323319.842 46...
9670096700outlierPOLYGON ((325929.840 1008792.061, 325927.377 1...
9670196701outlierPOLYGON ((337804.770 1013422.583, 337800.122 1...
9670296702outlierPOLYGON ((422304.270 1147826.990, 422296.000 1...
9670396703outlierPOLYGON ((525396.260 439215.480, 525360.920 43...
\n", "

96704 rows × 3 columns

\n", "
" ], "text/plain": [ " id type \\\n", "0 0 Countryside agriculture \n", "1 1 Countryside agriculture \n", "2 2 Countryside agriculture \n", "3 3 Countryside agriculture \n", "4 4 Countryside agriculture \n", "... ... ... \n", "96699 96699 outlier \n", "96700 96700 outlier \n", "96701 96701 outlier \n", "96702 96702 outlier \n", "96703 96703 outlier \n", "\n", " geometry \n", "0 POLYGON ((62220.000 798500.000, 62110.000 7985... \n", "1 POLYGON ((63507.682 796515.169, 63471.097 7965... \n", "2 POLYGON ((65953.174 802246.172, 65950.620 8022... \n", "3 POLYGON ((67297.740 803435.800, 67220.289 8034... \n", "4 POLYGON ((75760.000 852670.000, 75700.000 8527... \n", "... ... \n", "96699 POLYGON ((323321.005 463795.416, 323319.842 46... \n", "96700 POLYGON ((325929.840 1008792.061, 325927.377 1... \n", "96701 POLYGON ((337804.770 1013422.583, 337800.122 1... \n", "96702 POLYGON ((422304.270 1147826.990, 422296.000 1... \n", "96703 POLYGON ((525396.260 439215.480, 525360.920 43... \n", "\n", "[96704 rows x 3 columns]" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "signatures" ] }, { "cell_type": "markdown", "id": "4d40aecb-7ae6-4644-be1a-5c27b489faee", "metadata": {}, "source": [ "## Cleanup sliver geometries\n", "\n", "Remove artifacts caused by floating point imprecision in dissolving of ET cells into signature geometries." ] }, { "cell_type": "code", "execution_count": null, "id": "a3691340-68f2-41ef-a35b-1168cfa5167e", "metadata": {}, "outputs": [], "source": [ "from shapely.geometry import Polygon\n", "\n", "signatures_ddf = dask_geopandas.from_geopandas(signatures, npartitions=4)\n", "\n", "def fix(gdf):\n", " new = []\n", " for poly in gdf.geometry:\n", " new.append(Polygon(shell=poly.exterior, holes=[i for i in poly.interiors if Polygon(i).area > 1]))\n", " return geopandas.GeoSeries(new, index=gdf.index, crs=gdf.crs)\n", "\n", "\n", "signatures_ddf[\"geometry\"] = signatures_ddf.map_partitions(fix, meta=geopandas.GeoSeries())" ] }, { "cell_type": "code", "execution_count": 23, "id": "modular-lounge", "metadata": {}, "outputs": [], "source": [ "signatures.compute().to_file(\"spatial_signatures_GB.gpkg\", driver=\"GPKG\")" ] }, { "cell_type": "markdown", "id": "approved-environment", "metadata": {}, "source": [ "## Link data\n", "\n", "We also need CSV summarising geometries, but since we want to use the original characters before contextualisation and standardisation, we need to join them to geometry.\n", "\n", "### Harmonize Corine data." ] }, { "cell_type": "code", "execution_count": 24, "id": "becoming-customs", "metadata": {}, "outputs": [], "source": [ "import pyarrow.parquet as pq\n", "import pandas as pd\n", "\n", "columns = set()\n", "for i in range(103):\n", " schema = pq.read_schema(f\"../../urbangrammar_samba/spatial_signatures/functional/corine/corine_{i}.pq\")\n", " for c in schema.names:\n", " columns.add(c)\n", "\n", "for i in range(103):\n", " df = pd.read_parquet(f\"../../urbangrammar_samba/spatial_signatures/functional/corine/corine_{i}.pq\")\n", " missing = [c for c in columns if c not in df.columns]\n", " df[missing] = 0\n", " df.to_parquet(f\"../../urbangrammar_samba/spatial_signatures/functional/corine/corine_{i}.pq\")" ] }, { "cell_type": "markdown", "id": "consolidated-racing", "metadata": {}, "source": [ "### Join data" ] }, { "cell_type": "code", "execution_count": 11, "id": "irish-cover", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "
\n", "
\n", "

Client

\n", "

Client-b5f9b711-0a6c-11ec-85f9-0242ac110002

\n", " \n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "
Connection method: Cluster objectCluster type: distributed.LocalCluster
\n", " Dashboard: http://127.0.0.1:8787/status\n", "
\n", "\n", " \n", "
\n", "

Cluster Info

\n", "
\n", "
\n", "
\n", "
\n", "

LocalCluster

\n", "

c364f511

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", "
\n", " Dashboard: http://127.0.0.1:8787/status\n", " \n", " Workers: 8\n", "
\n", " Total threads: 16\n", " \n", " Total memory: 125.55 GiB\n", "
Status: runningUsing processes: True
\n", "\n", "
\n", " \n", "

Scheduler Info

\n", " \n", "\n", "
\n", "
\n", "
\n", "
\n", "

Scheduler

\n", "

Scheduler-7f95868f-38c0-41cc-bef2-91e05d88ddb8

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
\n", " Comm: tcp://127.0.0.1:37701\n", " \n", " Workers: 8\n", "
\n", " Dashboard: http://127.0.0.1:8787/status\n", " \n", " Total threads: 16\n", "
\n", " Started: Just now\n", " \n", " Total memory: 125.55 GiB\n", "
\n", "
\n", "
\n", "\n", "
\n", " \n", "

Workers

\n", " \n", "\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 0

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:36115\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:37581/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:36133\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-w6mvf4ot\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 1

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:34095\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:41073/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:42657\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-_dgk8ggr\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 2

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:36553\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:46527/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:40465\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-w5tfmvxj\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 3

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:37429\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:46297/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:43827\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-qq8ve98m\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 4

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:40931\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:36109/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:41977\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-o4ibcabn\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 5

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:38313\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:42449/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:44105\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-erb1jj_t\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 6

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:39061\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:43121/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:38433\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-0uhi0o89\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 7

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:37331\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:35769/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:39703\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-plm8h9tl\n", "
\n", "
\n", "
\n", "
\n", " \n", "\n", "
\n", "
\n", "\n", "
\n", "
\n", "
\n", "
\n", " \n", "\n", "
\n", "
" ], "text/plain": [ "" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from dask.distributed import Client, LocalCluster\n", "client = Client(LocalCluster(n_workers=8))\n", "client" ] }, { "cell_type": "code", "execution_count": 12, "id": "framed-symphony", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/conda/lib/python3.8/site-packages/dask_geopandas/io/parquet.py:83: FutureWarning: Assigning CRS to a GeoDataFrame without a geometry column is now deprecated and will not be supported in the future.\n", " meta = geopandas.GeoDataFrame(meta, crs=crs)\n" ] } ], "source": [ "tessellation = dask_geopandas.read_parquet(\"../../urbangrammar_samba/spatial_signatures/tessellation/tess_*.pq\")" ] }, { "cell_type": "code", "execution_count": 13, "id": "communist-bullet", "metadata": {}, "outputs": [], "source": [ "tessellation = dask_geopandas.from_dask_dataframe(tessellation[[\"hindex\", \"tessellation\"]]).set_geometry(\"tessellation\").explode()" ] }, { "cell_type": "code", "execution_count": 14, "id": "organic-significance", "metadata": {}, "outputs": [], "source": [ "tessellation[\"point\"] = tessellation.representative_point()\n", "tessellation = tessellation.set_geometry(\"point\")" ] }, { "cell_type": "code", "execution_count": 15, "id": "vital-dealer", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/conda/lib/python3.8/site-packages/dask_geopandas/sjoin.py:50: UserWarning: CRS mismatch between the CRS of left geometries and the CRS of right geometries.\n", "Use `to_crs()` to reproject one of the input geometries to match the CRS of the other.\n", "\n", "Left CRS: None\n", "Right CRS: EPSG:27700\n", "\n", " meta = geopandas.sjoin(left._meta, right._meta, how=how, op=op)\n" ] } ], "source": [ "joined = dask_geopandas.sjoin(tessellation, signatures, op=\"within\")" ] }, { "cell_type": "code", "execution_count": 16, "id": "removable-accessory", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 17.1 s, sys: 3.16 s, total: 20.3 s\n", "Wall time: 1min 33s\n" ] } ], "source": [ "%%time\n", "joined[[\"hindex\", \"id\", \"type\"]].to_parquet(\"../../urbangrammar_samba/spatial_signatures/signatures/hindex_to_type\")" ] }, { "cell_type": "markdown", "id": "positive-entry", "metadata": {}, "source": [ "Second bit." ] }, { "cell_type": "code", "execution_count": 30, "id": "brazilian-confidentiality", "metadata": {}, "outputs": [], "source": [ "joined = dask.dataframe.read_parquet(\"../../urbangrammar_samba/spatial_signatures/signatures/hindex_to_type\")" ] }, { "cell_type": "code", "execution_count": 18, "id": "accomplished-sheet", "metadata": {}, "outputs": [], "source": [ "pop = dask.dataframe.read_parquet(f\"../../urbangrammar_samba/spatial_signatures/functional/population/pop_*\")\n", "nl = dask.dataframe.read_parquet(f\"../../urbangrammar_samba/spatial_signatures/functional/night_lights/nl_*\")\n", "workplace = dask.dataframe.read_parquet(f\"../../urbangrammar_samba/spatial_signatures/functional/workplace/pop_*\")\n", "corine = dask.dataframe.read_parquet(f\"../../urbangrammar_samba/spatial_signatures/functional/corine/corine_*.pq\")\n", "ndvi = dask.dataframe.read_parquet(f\"../../urbangrammar_samba/functional_data/ndvi/ndvi_tess_*.pq\")\n", "pois = dask.dataframe.read_parquet(f\"../../urbangrammar_samba/spatial_signatures/functional/accessibility/access_*.pq\")\n", "water = dask.dataframe.read_parquet(f'../../urbangrammar_samba/spatial_signatures/functional/water/water_*.pq')\n", "retail_centres = dask.dataframe.read_parquet(f'../../urbangrammar_samba/spatial_signatures/functional/retail_centre/retail_*.pq')" ] }, { "cell_type": "code", "execution_count": 21, "id": "pleased-offering", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/conda/lib/python3.8/site-packages/dask/dataframe/multi.py:1212: UserWarning: Concatenating dataframes with unknown divisions.\n", "We're assuming that the indices of each dataframes are \n", " aligned. This assumption is not generally safe.\n", " warnings.warn(\n" ] } ], "source": [ "function = dask.dataframe.multi.concat([pop, nl.drop(columns=\"hindex\"), workplace.drop(columns=\"hindex\"), corine.drop(columns=\"hindex\"), ndvi.reset_index(drop=True), pois.drop(columns=\"hindex\"), water.drop(columns=\"hindex\"), retail_centres.drop(columns=\"hindex\")], axis=1)" ] }, { "cell_type": "code", "execution_count": null, "id": "veterinary-provision", "metadata": { "collapsed": true, "jupyter": { "outputs_hidden": true }, "tags": [] }, "outputs": [], "source": [ "%%time\n", "function.to_parquet(\"../../urbangrammar_samba/spatial_signatures/functional/combined_raw\")" ] }, { "cell_type": "markdown", "id": "unlimited-anderson", "metadata": {}, "source": [ "Another bit" ] }, { "cell_type": "code", "execution_count": 23, "id": "amended-grain", "metadata": {}, "outputs": [], "source": [ "function = dask.dataframe.read_parquet(\"../../urbangrammar_samba/spatial_signatures/functional/combined_raw\")" ] }, { "cell_type": "code", "execution_count": 25, "id": "rocky-range", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Dask DataFrame Structure:
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
hindexpopulationnight_lightsA, B, D, E. Agriculture, energy and waterC. ManufacturingF. ConstructionG, I. Distribution, hotels and restaurantsH, J. Transport and communicationK, L, M, N. Financial, real estate, professional and administrative activitiesO,P,Q. Public administration, education and healthR, S, T, U. OtherCode_18_124Code_18_211Code_18_121Code_18_421Code_18_522Code_18_142Code_18_141Code_18_112Code_18_231Code_18_311Code_18_131Code_18_123Code_18_122Code_18_512Code_18_243Code_18_313Code_18_412Code_18_321Code_18_322Code_18_324Code_18_111Code_18_423Code_18_523Code_18_133Code_18_334Code_18_132Code_18_242Code_18_411Code_18_511Code_18_312Code_18_332Code_18_521Code_18_331Code_18_244Code_18_333Code_18_222meansupermarkets_nearestsupermarkets_countslisted_nearestlisted_countsfhrs_nearestfhrs_countsculture_nearestculture_countsnearest_waternearest_retail_centre
npartitions=103
objectfloat64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64int64int64int64int64int64int64int64int64int64int64int64int64int64float64float64int64float64int64float64int64float64int64float64float64
..............................................................................................................................................................................
.................................................................................................................................................................................
..............................................................................................................................................................................
..............................................................................................................................................................................
\n", "
\n", "
Dask Name: read-parquet, 103 tasks
" ], "text/plain": [ "Dask DataFrame Structure:\n", " hindex population night_lights A, B, D, E. Agriculture, energy and water C. Manufacturing F. Construction G, I. Distribution, hotels and restaurants H, J. Transport and communication K, L, M, N. Financial, real estate, professional and administrative activities O,P,Q. Public administration, education and health R, S, T, U. Other Code_18_124 Code_18_211 Code_18_121 Code_18_421 Code_18_522 Code_18_142 Code_18_141 Code_18_112 Code_18_231 Code_18_311 Code_18_131 Code_18_123 Code_18_122 Code_18_512 Code_18_243 Code_18_313 Code_18_412 Code_18_321 Code_18_322 Code_18_324 Code_18_111 Code_18_423 Code_18_523 Code_18_133 Code_18_334 Code_18_132 Code_18_242 Code_18_411 Code_18_511 Code_18_312 Code_18_332 Code_18_521 Code_18_331 Code_18_244 Code_18_333 Code_18_222 mean supermarkets_nearest supermarkets_counts listed_nearest listed_counts fhrs_nearest fhrs_counts culture_nearest culture_counts nearest_water nearest_retail_centre\n", "npartitions=103 \n", " object float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 float64 float64 int64 float64 int64 float64 int64 float64 int64 float64 float64\n", " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", "... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", "Dask Name: read-parquet, 103 tasks" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "function" ] }, { "cell_type": "code", "execution_count": 26, "id": "voluntary-offer", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Dask DataFrame Structure:
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
hindextessellationbuildingssdbAresdbPersdbCoAssbCCossbCorssbSqussbERIssbElossbCCMssbCCDstbOrisdcLALsdcAresscCCosscERIstcOrisicCARstbCeAmtbAlimtbNDimtcWNemdcAreltcWREltbIBDnodeIDsdsSPWsdsSWDsdsSPOsdsLensssLinldsMSLmtdDeglcdMeslinP3WlinP4WlinPDElcnCloldsCDLxcnSClmtdMDilddNDelinWIDedgeID_keysedgeID_valuesedgeID_primarystbSAlsddAresdsAresisBpMmisCelmdsArelisCelldsAreltcRealtcAreldeAreldePerlseCColseERIlseCWAlteOrilteWNBlieWCe
npartitions=103
objectobjectobjectfloat64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64int64float64float64float64float64float64float64int64float64float64float64float64float64float64float64float64float64float64objectobjectfloat64float64float64float64float64float64float64float64float64int64float64float64float64float64float64float64float64float64float64
......................................................................................................................................................................................................
.........................................................................................................................................................................................................
......................................................................................................................................................................................................
......................................................................................................................................................................................................
\n", "
\n", "
Dask Name: read-parquet, 103 tasks
" ], "text/plain": [ "Dask DataFrame Structure:\n", " hindex tessellation buildings sdbAre sdbPer sdbCoA ssbCCo ssbCor ssbSqu ssbERI ssbElo ssbCCM ssbCCD stbOri sdcLAL sdcAre sscCCo sscERI stcOri sicCAR stbCeA mtbAli mtbNDi mtcWNe mdcAre ltcWRE ltbIBD nodeID sdsSPW sdsSWD sdsSPO sdsLen sssLin ldsMSL mtdDeg lcdMes linP3W linP4W linPDE lcnClo ldsCDL xcnSCl mtdMDi lddNDe linWID edgeID_keys edgeID_values edgeID_primary stbSAl sddAre sdsAre sisBpM misCel mdsAre lisCel ldsAre ltcRea ltcAre ldeAre ldePer lseCCo lseERI lseCWA lteOri lteWNB lieWCe\n", "npartitions=103 \n", " object object object float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 int64 float64 float64 float64 float64 float64 float64 int64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 object object float64 float64 float64 float64 float64 float64 float64 float64 float64 int64 float64 float64 float64 float64 float64 float64 float64 float64 float64\n", " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", "... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", "Dask Name: read-parquet, 103 tasks" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "form = dask.dataframe.read_parquet(\"../../urbangrammar_samba/spatial_signatures/morphometrics/cells/cells_*.pq\")\n", "form" ] }, { "cell_type": "code", "execution_count": 27, "id": "mexican-meeting", "metadata": {}, "outputs": [], "source": [ "form = form.drop(columns=[\"tessellation\", \"buildings\"])" ] }, { "cell_type": "code", "execution_count": 49, "id": "described-powell", "metadata": {}, "outputs": [], "source": [ "data = form.merge(function, on=\"hindex\", how=\"left\")" ] }, { "cell_type": "code", "execution_count": 52, "id": "latin-alexandria", "metadata": { "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "distributed.nanny - WARNING - Worker process still alive after 3 seconds, killing\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 7min 38s, sys: 44.6 s, total: 8min 23s\n", "Wall time: 37min 11s\n" ] } ], "source": [ "%%time\n", "data.to_parquet(\"../../urbangrammar_samba/spatial_signatures/data_combined_raw\")" ] }, { "cell_type": "code", "execution_count": 53, "id": "collectible-trance", "metadata": {}, "outputs": [], "source": [ "data = dask.dataframe.read_parquet(\"../../urbangrammar_samba/spatial_signatures/data_combined_raw\")" ] }, { "cell_type": "code", "execution_count": 54, "id": "preceding-lounge", "metadata": {}, "outputs": [], "source": [ "merged = joined.merge(data, on=\"hindex\", how=\"left\")" ] }, { "cell_type": "markdown", "id": "august-improvement", "metadata": {}, "source": [ "With all data merged together, we can create summaries using groupby." ] }, { "cell_type": "code", "execution_count": 55, "id": "effective-fetish", "metadata": {}, "outputs": [], "source": [ "per_geometry = merged.drop(columns=[\"hindex\", \"type\"]).groupby(\"id\").mean()\n", "per_type = merged.drop(columns=[\"hindex\", \"id\"]).groupby(\"type\").mean()" ] }, { "cell_type": "code", "execution_count": 56, "id": "exterior-childhood", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 1min 1s, sys: 5.53 s, total: 1min 7s\n", "Wall time: 3min 42s\n" ] } ], "source": [ "%%time\n", "per_type, per_geometry = dask.compute(per_type, per_geometry)" ] }, { "cell_type": "code", "execution_count": 58, "id": "geological-lottery", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
sdbAresdbPersdbCoAssbCCossbCorssbSqussbERIssbElossbCCMssbCCD...supermarkets_nearestsupermarkets_countslisted_nearestlisted_countsfhrs_nearestfhrs_countsculture_nearestculture_countsnearest_waternearest_retail_centre
type
Accessible suburbia176.94913553.9026970.4768380.5348564.2538450.7752720.9877070.6422719.6048730.364329...828.8222611.890519744.22399411.273578218.460768334.4349915384.6387460.059113542.613661849.447871
Connected residential neighbourhoods272.52222069.1199671.0698720.4809414.4455151.4664260.9794150.55546812.4068400.707494...679.9589402.855980596.61365424.279146152.479922692.6640503946.0525170.129197555.964942536.469155
Countryside agriculture204.10040056.0489840.5058310.5062754.3711560.8090870.9777890.6000659.7918690.556915...4751.2264290.089042557.93627611.223066725.69064344.46552913156.2037650.003804304.4881814943.972107
Dense residential neighbourhoods375.59829080.5584732.1273400.4725544.6947141.8636200.9699120.55705413.9614201.070784...661.7655943.127412506.61471537.474705144.021617860.9271023497.5111810.259194483.124139421.093530
Dense urban neighbourhoods588.359559107.3628495.0340840.4357145.2082423.2784190.9504310.51982117.9991011.877968...587.2768104.436632350.89033962.783422106.0843581568.4435972287.4321990.476118528.850109224.326713
Disconnected suburbia212.71395861.6316620.5193720.4915884.3479001.0192930.9817790.57378611.1148260.539407...761.8583732.067315729.60851724.181257217.945624342.0817225831.5234330.077958523.050240725.573382
Distilled urbanity3713.379427376.300388159.0876080.42518612.48466718.5894820.7769500.59431435.9277949.034682...229.90309622.51056331.732228685.15633816.2190506297.607746702.75088010.392254565.24820329.803442
Gridded residential quarters283.89260769.6672450.7490260.4917544.5066851.6631510.9768420.58454812.4118050.799002...577.6839743.409903516.19737631.771826129.2442041081.3765104094.9152530.240503522.087434445.518972
Hyper distilled urbanity3358.099586330.81857690.8195440.4462929.27343822.5139540.8028920.61766937.2201997.696910...324.41631218.79104569.7492361142.56716414.1012699213.145522351.32511034.197761759.60420832.544669
Local urbanity823.354285135.54391912.6667290.4093106.0142395.0718480.9190850.50641520.7115002.976781...483.0178626.848327216.858599140.03107382.4689612167.9099911273.2268971.129622507.706457161.854989
Metropolitan urbanity2413.938716283.935149118.9469490.3958629.71750412.4068940.8201420.52775829.6772596.780030...299.93049617.27195851.874364456.52963040.0639824490.949206644.5312594.446825467.71363166.318054
Open sprawl226.71509859.6397800.9004780.5185314.3719390.9857290.9824520.62230110.4883280.547552...948.0259141.469023760.25725418.171441267.238602253.8752266309.7533410.061560378.3561871002.663064
Regional urbanity1480.260902195.97866043.1909980.3930357.7768638.8448050.8695140.51295925.2545834.980199...331.06778112.531123115.004786324.50075256.8652403163.829678850.2544872.233070461.41585990.874497
Urban buffer209.42185855.9417020.7433950.5236324.3405400.8599730.9829040.6301259.8085750.492953...1752.8734790.654018673.93139916.138833379.169823132.6618468939.6471360.024052345.7907472102.455609
Warehouse land393.21609775.6802703.2630390.4694664.5648901.3525360.9761020.54225613.2001760.876237...1043.8354091.427596934.00115210.570084256.220805271.0925375121.4691500.058667417.431851898.174463
Wild countryside209.85538257.1220520.2235420.5019394.3812720.7061300.9765220.5899089.9473780.601808...9854.1239370.0289751324.0250444.2127201699.16964933.07329320695.2906650.001680236.73032411041.324478
outlier500.23876064.3104182.8702850.77518611.56310744.1426801.0572490.82213210.6321810.282117...3337.0547360.0178571795.2286331.2857142303.1769807.8482147388.4131220.00000010.6185682876.467504
\n", "

17 rows × 118 columns

\n", "
" ], "text/plain": [ " sdbAre sdbPer sdbCoA \\\n", "type \n", "Accessible suburbia 176.949135 53.902697 0.476838 \n", "Connected residential neighbourhoods 272.522220 69.119967 1.069872 \n", "Countryside agriculture 204.100400 56.048984 0.505831 \n", "Dense residential neighbourhoods 375.598290 80.558473 2.127340 \n", "Dense urban neighbourhoods 588.359559 107.362849 5.034084 \n", "Disconnected suburbia 212.713958 61.631662 0.519372 \n", "Distilled urbanity 3713.379427 376.300388 159.087608 \n", "Gridded residential quarters 283.892607 69.667245 0.749026 \n", "Hyper distilled urbanity 3358.099586 330.818576 90.819544 \n", "Local urbanity 823.354285 135.543919 12.666729 \n", "Metropolitan urbanity 2413.938716 283.935149 118.946949 \n", "Open sprawl 226.715098 59.639780 0.900478 \n", "Regional urbanity 1480.260902 195.978660 43.190998 \n", "Urban buffer 209.421858 55.941702 0.743395 \n", "Warehouse land 393.216097 75.680270 3.263039 \n", "Wild countryside 209.855382 57.122052 0.223542 \n", "outlier 500.238760 64.310418 2.870285 \n", "\n", " ssbCCo ssbCor ssbSqu \\\n", "type \n", "Accessible suburbia 0.534856 4.253845 0.775272 \n", "Connected residential neighbourhoods 0.480941 4.445515 1.466426 \n", "Countryside agriculture 0.506275 4.371156 0.809087 \n", "Dense residential neighbourhoods 0.472554 4.694714 1.863620 \n", "Dense urban neighbourhoods 0.435714 5.208242 3.278419 \n", "Disconnected suburbia 0.491588 4.347900 1.019293 \n", "Distilled urbanity 0.425186 12.484667 18.589482 \n", "Gridded residential quarters 0.491754 4.506685 1.663151 \n", "Hyper distilled urbanity 0.446292 9.273438 22.513954 \n", "Local urbanity 0.409310 6.014239 5.071848 \n", "Metropolitan urbanity 0.395862 9.717504 12.406894 \n", "Open sprawl 0.518531 4.371939 0.985729 \n", "Regional urbanity 0.393035 7.776863 8.844805 \n", "Urban buffer 0.523632 4.340540 0.859973 \n", "Warehouse land 0.469466 4.564890 1.352536 \n", "Wild countryside 0.501939 4.381272 0.706130 \n", "outlier 0.775186 11.563107 44.142680 \n", "\n", " ssbERI ssbElo ssbCCM ssbCCD \\\n", "type \n", "Accessible suburbia 0.987707 0.642271 9.604873 0.364329 \n", "Connected residential neighbourhoods 0.979415 0.555468 12.406840 0.707494 \n", "Countryside agriculture 0.977789 0.600065 9.791869 0.556915 \n", "Dense residential neighbourhoods 0.969912 0.557054 13.961420 1.070784 \n", "Dense urban neighbourhoods 0.950431 0.519821 17.999101 1.877968 \n", "Disconnected suburbia 0.981779 0.573786 11.114826 0.539407 \n", "Distilled urbanity 0.776950 0.594314 35.927794 9.034682 \n", "Gridded residential quarters 0.976842 0.584548 12.411805 0.799002 \n", "Hyper distilled urbanity 0.802892 0.617669 37.220199 7.696910 \n", "Local urbanity 0.919085 0.506415 20.711500 2.976781 \n", "Metropolitan urbanity 0.820142 0.527758 29.677259 6.780030 \n", "Open sprawl 0.982452 0.622301 10.488328 0.547552 \n", "Regional urbanity 0.869514 0.512959 25.254583 4.980199 \n", "Urban buffer 0.982904 0.630125 9.808575 0.492953 \n", "Warehouse land 0.976102 0.542256 13.200176 0.876237 \n", "Wild countryside 0.976522 0.589908 9.947378 0.601808 \n", "outlier 1.057249 0.822132 10.632181 0.282117 \n", "\n", " ... supermarkets_nearest \\\n", "type ... \n", "Accessible suburbia ... 828.822261 \n", "Connected residential neighbourhoods ... 679.958940 \n", "Countryside agriculture ... 4751.226429 \n", "Dense residential neighbourhoods ... 661.765594 \n", "Dense urban neighbourhoods ... 587.276810 \n", "Disconnected suburbia ... 761.858373 \n", "Distilled urbanity ... 229.903096 \n", "Gridded residential quarters ... 577.683974 \n", "Hyper distilled urbanity ... 324.416312 \n", "Local urbanity ... 483.017862 \n", "Metropolitan urbanity ... 299.930496 \n", "Open sprawl ... 948.025914 \n", "Regional urbanity ... 331.067781 \n", "Urban buffer ... 1752.873479 \n", "Warehouse land ... 1043.835409 \n", "Wild countryside ... 9854.123937 \n", "outlier ... 3337.054736 \n", "\n", " supermarkets_counts listed_nearest \\\n", "type \n", "Accessible suburbia 1.890519 744.223994 \n", "Connected residential neighbourhoods 2.855980 596.613654 \n", "Countryside agriculture 0.089042 557.936276 \n", "Dense residential neighbourhoods 3.127412 506.614715 \n", "Dense urban neighbourhoods 4.436632 350.890339 \n", "Disconnected suburbia 2.067315 729.608517 \n", "Distilled urbanity 22.510563 31.732228 \n", "Gridded residential quarters 3.409903 516.197376 \n", "Hyper distilled urbanity 18.791045 69.749236 \n", "Local urbanity 6.848327 216.858599 \n", "Metropolitan urbanity 17.271958 51.874364 \n", "Open sprawl 1.469023 760.257254 \n", "Regional urbanity 12.531123 115.004786 \n", "Urban buffer 0.654018 673.931399 \n", "Warehouse land 1.427596 934.001152 \n", "Wild countryside 0.028975 1324.025044 \n", "outlier 0.017857 1795.228633 \n", "\n", " listed_counts fhrs_nearest \\\n", "type \n", "Accessible suburbia 11.273578 218.460768 \n", "Connected residential neighbourhoods 24.279146 152.479922 \n", "Countryside agriculture 11.223066 725.690643 \n", "Dense residential neighbourhoods 37.474705 144.021617 \n", "Dense urban neighbourhoods 62.783422 106.084358 \n", "Disconnected suburbia 24.181257 217.945624 \n", "Distilled urbanity 685.156338 16.219050 \n", "Gridded residential quarters 31.771826 129.244204 \n", "Hyper distilled urbanity 1142.567164 14.101269 \n", "Local urbanity 140.031073 82.468961 \n", "Metropolitan urbanity 456.529630 40.063982 \n", "Open sprawl 18.171441 267.238602 \n", "Regional urbanity 324.500752 56.865240 \n", "Urban buffer 16.138833 379.169823 \n", "Warehouse land 10.570084 256.220805 \n", "Wild countryside 4.212720 1699.169649 \n", "outlier 1.285714 2303.176980 \n", "\n", " fhrs_counts culture_nearest \\\n", "type \n", "Accessible suburbia 334.434991 5384.638746 \n", "Connected residential neighbourhoods 692.664050 3946.052517 \n", "Countryside agriculture 44.465529 13156.203765 \n", "Dense residential neighbourhoods 860.927102 3497.511181 \n", "Dense urban neighbourhoods 1568.443597 2287.432199 \n", "Disconnected suburbia 342.081722 5831.523433 \n", "Distilled urbanity 6297.607746 702.750880 \n", "Gridded residential quarters 1081.376510 4094.915253 \n", "Hyper distilled urbanity 9213.145522 351.325110 \n", "Local urbanity 2167.909991 1273.226897 \n", "Metropolitan urbanity 4490.949206 644.531259 \n", "Open sprawl 253.875226 6309.753341 \n", "Regional urbanity 3163.829678 850.254487 \n", "Urban buffer 132.661846 8939.647136 \n", "Warehouse land 271.092537 5121.469150 \n", "Wild countryside 33.073293 20695.290665 \n", "outlier 7.848214 7388.413122 \n", "\n", " culture_counts nearest_water \\\n", "type \n", "Accessible suburbia 0.059113 542.613661 \n", "Connected residential neighbourhoods 0.129197 555.964942 \n", "Countryside agriculture 0.003804 304.488181 \n", "Dense residential neighbourhoods 0.259194 483.124139 \n", "Dense urban neighbourhoods 0.476118 528.850109 \n", "Disconnected suburbia 0.077958 523.050240 \n", "Distilled urbanity 10.392254 565.248203 \n", "Gridded residential quarters 0.240503 522.087434 \n", "Hyper distilled urbanity 34.197761 759.604208 \n", "Local urbanity 1.129622 507.706457 \n", "Metropolitan urbanity 4.446825 467.713631 \n", "Open sprawl 0.061560 378.356187 \n", "Regional urbanity 2.233070 461.415859 \n", "Urban buffer 0.024052 345.790747 \n", "Warehouse land 0.058667 417.431851 \n", "Wild countryside 0.001680 236.730324 \n", "outlier 0.000000 10.618568 \n", "\n", " nearest_retail_centre \n", "type \n", "Accessible suburbia 849.447871 \n", "Connected residential neighbourhoods 536.469155 \n", "Countryside agriculture 4943.972107 \n", "Dense residential neighbourhoods 421.093530 \n", "Dense urban neighbourhoods 224.326713 \n", "Disconnected suburbia 725.573382 \n", "Distilled urbanity 29.803442 \n", "Gridded residential quarters 445.518972 \n", "Hyper distilled urbanity 32.544669 \n", "Local urbanity 161.854989 \n", "Metropolitan urbanity 66.318054 \n", "Open sprawl 1002.663064 \n", "Regional urbanity 90.874497 \n", "Urban buffer 2102.455609 \n", "Warehouse land 898.174463 \n", "Wild countryside 11041.324478 \n", "outlier 2876.467504 \n", "\n", "[17 rows x 118 columns]" ] }, "execution_count": 58, "metadata": {}, "output_type": "execute_result" } ], "source": [ "per_type" ] }, { "cell_type": "code", "execution_count": 57, "id": "eight-theta", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
sdbAresdbPersdbCoAssbCCossbCorssbSqussbERIssbElossbCCMssbCCD...supermarkets_nearestsupermarkets_countslisted_nearestlisted_countsfhrs_nearestfhrs_countsculture_nearestculture_countsnearest_waternearest_retail_centre
id
0129.93343445.1465140.2022790.5409684.1722370.5244010.9935430.6225638.0277740.234288...1444.9359730.454774890.1962353.572864341.15279277.364322NaN0.0136.48332993403.761607
4258.46174265.6506545.2787060.5009174.3763840.5580920.9755910.57152811.0941580.675784...9034.3363890.000000736.1822621.718412642.509775126.115523NaN0.0139.41978058846.096367
9122.65539646.8883040.0000000.5095704.3369570.6064920.9818170.5781058.1689390.342824...NaN0.000000112.2326244.935484309.11519361.000000NaN0.080.0877624762.653237
11190.30894659.0228240.7645430.4945194.5419850.9976730.9673970.59809210.1348620.665047...NaN0.000000281.2893698.043478198.2968414.326087NaN0.074.3776824378.879114
14146.47781650.3089640.2297560.5094394.3820900.7694550.9745910.6079798.8368700.504590...2296.6579680.023599519.0197177.519174281.73730824.020649NaN0.0199.5443811698.769041
..................................................................
94815NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...967.3549801.000000733.50897218.000000294.21798762.0000004342.3789060.00.000000731.905179
94853542.69750098.3342300.0000000.5186284.0000000.0782850.9998550.51630918.2483470.009636...547.6870123.00000097.22699777.000000112.3629991346.0000001062.7500001.0160.527776213.305247
94892NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...457.1709905.0000000.000000515.00000038.4700012364.000000401.4110112.0410.0390480.000000
96021180.37840057.2781300.0000000.4997084.0000000.0252841.0000370.48482610.7172660.001857...327.5840154.000000251.1150053.000000153.737000301.0000002968.3210450.0710.912280317.166726
9670254.74710029.6145730.0000000.6346134.0000000.0480431.0000000.9325255.2383550.002229...41921.5937500.0000000.0000004.0000001227.0260010.000000NaN0.00.00000025185.139279
\n", "

96704 rows × 118 columns

\n", "
" ], "text/plain": [ " sdbAre sdbPer sdbCoA ssbCCo ssbCor ssbSqu \\\n", "id \n", "0 129.933434 45.146514 0.202279 0.540968 4.172237 0.524401 \n", "4 258.461742 65.650654 5.278706 0.500917 4.376384 0.558092 \n", "9 122.655396 46.888304 0.000000 0.509570 4.336957 0.606492 \n", "11 190.308946 59.022824 0.764543 0.494519 4.541985 0.997673 \n", "14 146.477816 50.308964 0.229756 0.509439 4.382090 0.769455 \n", "... ... ... ... ... ... ... \n", "94815 NaN NaN NaN NaN NaN NaN \n", "94853 542.697500 98.334230 0.000000 0.518628 4.000000 0.078285 \n", "94892 NaN NaN NaN NaN NaN NaN \n", "96021 180.378400 57.278130 0.000000 0.499708 4.000000 0.025284 \n", "96702 54.747100 29.614573 0.000000 0.634613 4.000000 0.048043 \n", "\n", " ssbERI ssbElo ssbCCM ssbCCD ... supermarkets_nearest \\\n", "id ... \n", "0 0.993543 0.622563 8.027774 0.234288 ... 1444.935973 \n", "4 0.975591 0.571528 11.094158 0.675784 ... 9034.336389 \n", "9 0.981817 0.578105 8.168939 0.342824 ... NaN \n", "11 0.967397 0.598092 10.134862 0.665047 ... NaN \n", "14 0.974591 0.607979 8.836870 0.504590 ... 2296.657968 \n", "... ... ... ... ... ... ... \n", "94815 NaN NaN NaN NaN ... 967.354980 \n", "94853 0.999855 0.516309 18.248347 0.009636 ... 547.687012 \n", "94892 NaN NaN NaN NaN ... 457.170990 \n", "96021 1.000037 0.484826 10.717266 0.001857 ... 327.584015 \n", "96702 1.000000 0.932525 5.238355 0.002229 ... 41921.593750 \n", "\n", " supermarkets_counts listed_nearest listed_counts fhrs_nearest \\\n", "id \n", "0 0.454774 890.196235 3.572864 341.152792 \n", "4 0.000000 736.182262 1.718412 642.509775 \n", "9 0.000000 112.232624 4.935484 309.115193 \n", "11 0.000000 281.289369 8.043478 198.296841 \n", "14 0.023599 519.019717 7.519174 281.737308 \n", "... ... ... ... ... \n", "94815 1.000000 733.508972 18.000000 294.217987 \n", "94853 3.000000 97.226997 77.000000 112.362999 \n", "94892 5.000000 0.000000 515.000000 38.470001 \n", "96021 4.000000 251.115005 3.000000 153.737000 \n", "96702 0.000000 0.000000 4.000000 1227.026001 \n", "\n", " fhrs_counts culture_nearest culture_counts nearest_water \\\n", "id \n", "0 77.364322 NaN 0.0 136.483329 \n", "4 126.115523 NaN 0.0 139.419780 \n", "9 61.000000 NaN 0.0 80.087762 \n", "11 4.326087 NaN 0.0 74.377682 \n", "14 24.020649 NaN 0.0 199.544381 \n", "... ... ... ... ... \n", "94815 62.000000 4342.378906 0.0 0.000000 \n", "94853 1346.000000 1062.750000 1.0 160.527776 \n", "94892 2364.000000 401.411011 2.0 410.039048 \n", "96021 301.000000 2968.321045 0.0 710.912280 \n", "96702 0.000000 NaN 0.0 0.000000 \n", "\n", " nearest_retail_centre \n", "id \n", "0 93403.761607 \n", "4 58846.096367 \n", "9 4762.653237 \n", "11 4378.879114 \n", "14 1698.769041 \n", "... ... \n", "94815 731.905179 \n", "94853 213.305247 \n", "94892 0.000000 \n", "96021 317.166726 \n", "96702 25185.139279 \n", "\n", "[96704 rows x 118 columns]" ] }, "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ "per_geometry" ] }, { "cell_type": "markdown", "id": "accepted-grant", "metadata": {}, "source": [ "## Rename columns" ] }, { "cell_type": "code", "execution_count": 2, "id": "material-combining", "metadata": {}, "outputs": [], "source": [ "coded = {\n", " 'population': 'func_population',\n", " 'night_lights': 'func_night_lights',\n", " 'A, B, D, E. Agriculture, energy and water': 'func_workplace_abde',\n", " 'C. Manufacturing': 'func_workplace_c',\n", " 'F. Construction': 'func_workplace_f',\n", " 'G, I. Distribution, hotels and restaurants': 'func_workplace_gi',\n", " 'H, J. Transport and communication': 'func_workplace_hj',\n", " 'K, L, M, N. Financial, real estate, professional and administrative activities': 'func_workplace_klmn',\n", " 'O,P,Q. Public administration, education and health': 'func_workplace_opq',\n", " 'R, S, T, U. Other': 'func_workplace_rstu',\n", " 'Code_18_124': 'func_corine_124',\n", " 'Code_18_211': 'func_corine_211',\n", " 'Code_18_121': 'func_corine_121',\n", " 'Code_18_421': 'func_corine_421',\n", " 'Code_18_522': 'func_corine_522',\n", " 'Code_18_142': 'func_corine_142',\n", " 'Code_18_141': 'func_corine_141',\n", " 'Code_18_112': 'func_corine_112',\n", " 'Code_18_231': 'func_corine_231',\n", " 'Code_18_311': 'func_corine_311',\n", " 'Code_18_131': 'func_corine_131',\n", " 'Code_18_123': 'func_corine_123',\n", " 'Code_18_122': 'func_corine_122',\n", " 'Code_18_512': 'func_corine_512',\n", " 'Code_18_243': 'func_corine_243',\n", " 'Code_18_313': 'func_corine_313',\n", " 'Code_18_412': 'func_corine_412',\n", " 'Code_18_321': 'func_corine_321',\n", " 'Code_18_322': 'func_corine_322',\n", " 'Code_18_324': 'func_corine_324',\n", " 'Code_18_111': 'func_corine_111',\n", " 'Code_18_423': 'func_corine_423',\n", " 'Code_18_523': 'func_corine_523',\n", " 'Code_18_312': 'func_corine_312',\n", " 'Code_18_133': 'func_corine_133',\n", " 'Code_18_333': 'func_corine_333',\n", " 'Code_18_332': 'func_corine_332',\n", " 'Code_18_411': 'func_corine_411',\n", " 'Code_18_132': 'func_corine_132',\n", " 'Code_18_222': 'func_corine_222',\n", " 'Code_18_242': 'func_corine_242',\n", " 'Code_18_331': 'func_corine_331',\n", " 'Code_18_511': 'func_corine_511',\n", " 'Code_18_334': 'func_corine_334',\n", " 'Code_18_244': 'func_corine_244',\n", " 'Code_18_521': 'func_corine_521',\n", " 'mean': 'ndvi',\n", " 'supermarkets_nearest': 'func_supermarkets_nearest',\n", " 'supermarkets_counts': 'func_supermarkets_counts',\n", " 'listed_nearest': 'func_listed_nearest',\n", " 'listed_counts': 'func_listed_counts',\n", " 'fhrs_nearest': 'func_fhrs_nearest',\n", " 'fhrs_counts': 'func_fhrs_counts',\n", " 'culture_nearest': 'func_culture_nearest',\n", " 'culture_counts': 'func_culture_counts',\n", " 'nearest_water': 'func_water_nearest',\n", " 'nearest_retail_centre': 'func_retail_centrenearest',\n", " 'sdbAre': 'form_sdbAre',\n", " 'sdbPer': 'form_sdbPer',\n", " 'sdbCoA': 'form_sdbCoA',\n", " 'ssbCCo': 'form_ssbCCo',\n", " 'ssbCor': 'form_ssbCor',\n", " 'ssbSqu': 'form_ssbSqu',\n", " 'ssbERI': 'form_ssbERI',\n", " 'ssbElo': 'form_ssbElo',\n", " 'ssbCCM': 'form_ssbCCM',\n", " 'ssbCCD': 'form_ssbCCD',\n", " 'stbOri': 'form_stbOri',\n", " 'sdcLAL': 'form_sdcLAL',\n", " 'sdcAre': 'form_sdcAre',\n", " 'sscCCo': 'form_sscCCo',\n", " 'sscERI': 'form_sscERI',\n", " 'stcOri': 'form_stcOri',\n", " 'sicCAR': 'form_sicCAR',\n", " 'stbCeA': 'form_stbCeA',\n", " 'mtbAli': 'form_mtbAli',\n", " 'mtbNDi': 'form_mtbNDi',\n", " 'mtcWNe': 'form_mtcWNe',\n", " 'mdcAre': 'form_mdcAre',\n", " 'ltcWRE': 'form_ltcWRE',\n", " 'ltbIBD': 'form_ltbIBD',\n", " 'sdsSPW': 'form_sdsSPW',\n", " 'sdsSWD': 'form_sdsSWD',\n", " 'sdsSPO': 'form_sdsSPO',\n", " 'sdsLen': 'form_sdsLen',\n", " 'sssLin': 'form_sssLin',\n", " 'ldsMSL': 'form_ldsMSL',\n", " 'mtdDeg': 'form_mtdDeg',\n", " 'lcdMes': 'form_lcdMes',\n", " 'linP3W': 'form_linP3W',\n", " 'linP4W': 'form_linP4W',\n", " 'linPDE': 'form_linPDE',\n", " 'lcnClo': 'form_lcnClo',\n", " 'ldsCDL': 'form_ldsCDL',\n", " 'xcnSCl': 'form_xcnSCl',\n", " 'mtdMDi': 'form_mtdMDi',\n", " 'lddNDe': 'form_lddNDe',\n", " 'linWID': 'form_linWID',\n", " 'stbSAl': 'form_stbSAl',\n", " 'sddAre': 'form_sddAre',\n", " 'sdsAre': 'form_sdsAre',\n", " 'sisBpM': 'form_sisBpM',\n", " 'misCel': 'form_misCel',\n", " 'mdsAre': 'form_mdsAre',\n", " 'lisCel': 'form_lisCel',\n", " 'ldsAre': 'form_ldsAre',\n", " 'ltcRea': 'form_ltcRea',\n", " 'ltcAre': 'form_ltcAre',\n", " 'ldeAre': 'form_ldeAre',\n", " 'ldePer': 'form_ldePer',\n", " 'lseCCo': 'form_lseCCo',\n", " 'lseERI': 'form_lseERI',\n", " 'lseCWA': 'form_lseCWA',\n", " 'lteOri': 'form_lteOri',\n", " 'lteWNB': 'form_lteWNB',\n", " 'lieWCe': 'form_lieWCe',\n", "}" ] }, { "cell_type": "code", "execution_count": 3, "id": "naval-cancellation", "metadata": {}, "outputs": [], "source": [ "key = {\n", " 'func_population': 'Population',\n", " 'func_night_lights': 'Night lights',\n", " 'func_workplace_abde': 'Workplace population [Agriculture, energy and water]',\n", " 'func_workplace_c': 'Workplace population [Manufacturing]',\n", " 'func_workplace_f': 'Workplace population [Construction]',\n", " 'func_workplace_gi': 'Workplace population [Distribution, hotels and restaurants]',\n", " 'func_workplace_hj': 'Workplace population [Transport and communication]',\n", " 'func_workplace_klmn': 'Workplace population [Financial, real estate, professional and administrative activities]',\n", " 'func_workplace_opq': 'Workplace population [Public administration, education and health]',\n", " 'func_workplace_rstu': 'Workplace population [Other]',\n", " 'func_corine_124': 'Land cover [Airports]',\n", " 'func_corine_211': 'Land cover [Non-irrigated arable land]',\n", " 'func_corine_121': 'Land cover [Industrial or commercial units]',\n", " 'func_corine_421': 'Land cover [Salt marshes]',\n", " 'func_corine_522': 'Land cover [Estuaries]',\n", " 'func_corine_142': 'Land cover [Sport and leisure facilities]',\n", " 'func_corine_141': 'Land cover [Green urban areas]',\n", " 'func_corine_112': 'Land cover [Discontinuous urban fabric]',\n", " 'func_corine_231': 'Land cover [Pastures]',\n", " 'func_corine_311': 'Land cover [Broad-leaved forest]',\n", " 'func_corine_131': 'Land cover [Mineral extraction sites]',\n", " 'func_corine_123': 'Land cover [Port areas]',\n", " 'func_corine_122': 'Land cover [Road and rail networks and associated land]',\n", " 'func_corine_512': 'Land cover [Water bodies]',\n", " 'func_corine_243': 'Land cover [Land principally occupied by agriculture, with significant areas of natural vegetation]',\n", " 'func_corine_313': 'Land cover [Mixed forest]',\n", " 'func_corine_412': 'Land cover [Peat bogs]',\n", " 'func_corine_321': 'Land cover [Natural grasslands]',\n", " 'func_corine_322': 'Land cover [Moors and heathland]',\n", " 'func_corine_324': 'Land cover [Transitional woodland-shrub]',\n", " 'func_corine_111': 'Land cover [Continuous urban fabric]',\n", " 'func_corine_423': 'Land cover [Intertidal flats]',\n", " 'func_corine_523': 'Land cover [Sea and ocean]',\n", " 'func_corine_312': 'Land cover [Coniferous forest]',\n", " 'func_corine_133': 'Land cover [Construction sites]',\n", " 'func_corine_333': 'Land cover [Sparsely vegetated areas]',\n", " 'func_corine_332': 'Land cover [Bare rocks]',\n", " 'func_corine_411': 'Land cover [Inland marshes]',\n", " 'func_corine_132': 'Land cover [Dump sites]',\n", " 'func_corine_222': 'Land cover [Fruit trees and berry plantations]',\n", " 'func_corine_242': 'Land cover [Complex cultivation patterns]',\n", " 'func_corine_331': 'Land cover [Beaches, dunes, sands]',\n", " 'func_corine_511': 'Land cover [Water courses]',\n", " 'func_corine_334': 'Land cover [Burnt areas]',\n", " 'func_corine_244': 'Land cover [Agro-forestry areas]',\n", " 'func_corine_521': 'Land cover [Coastal lagoons]',\n", " 'ndvi': 'NDVI',\n", " 'func_supermarkets_nearest': 'Supermarkets [distance to nearest]',\n", " 'func_supermarkets_counts': 'Supermarkets [counts within 1200m]',\n", " 'func_listed_nearest': 'Listed buildings [distance to nearest]',\n", " 'func_listed_counts': 'Listed buildings [counts within 1200m]',\n", " 'func_fhrs_nearest': 'FHRS points [distance to nearest]',\n", " 'func_fhrs_counts': 'FHRS points [counts within 1200m]',\n", " 'func_culture_nearest': 'Cultural venues [distance to nearest]',\n", " 'func_culture_counts': 'Cultural venues [counts within 1200m]',\n", " 'func_water_nearest': 'Water bodies [distance to nearest]',\n", " 'func_retail_centrenearest': 'Retail centres [distance to nearest]',\n", " 'form_sdbAre': 'area of building',\n", " 'form_sdbPer': 'perimeter of building',\n", " 'form_sdbCoA': 'courtyard area of building',\n", " 'form_ssbCCo': 'circular compactness of building',\n", " 'form_ssbCor': 'corners of building',\n", " 'form_ssbSqu': 'squareness of building',\n", " 'form_ssbERI': 'equivalent rectangular index of building',\n", " 'form_ssbElo': 'elongation of building',\n", " 'form_ssbCCM': 'centroid - corner mean distance of building',\n", " 'form_ssbCCD': 'centroid - corner distance deviation of building',\n", " 'form_stbOri': 'orientation of building',\n", " 'form_sdcLAL': 'longest axis length of ETC',\n", " 'form_sdcAre': 'area of ETC',\n", " 'form_sscCCo': 'circular compactness of ETC',\n", " 'form_sscERI': 'equivalent rectangular index of ETC',\n", " 'form_stcOri': 'orientation of ETC',\n", " 'form_sicCAR': 'covered area ratio of ETC',\n", " 'form_stbCeA': 'cell alignment of building',\n", " 'form_mtbAli': 'alignment of neighbouring buildings',\n", " 'form_mtbNDi': 'mean distance between neighbouring buildings',\n", " 'form_mtcWNe': 'perimeter-weighted neighbours of ETC',\n", " 'form_mdcAre': 'area covered by neighbouring cells',\n", " 'form_ltcWRE': 'weighted reached enclosures of ETC',\n", " 'form_ltbIBD': 'mean inter-building distance',\n", " 'form_sdsSPW': 'width of street profile',\n", " 'form_sdsSWD': 'width deviation of street profile',\n", " 'form_sdsSPO': 'openness of street profile',\n", " 'form_sdsLen': 'length of street segment',\n", " 'form_sssLin': 'linearity of street segment',\n", " 'form_ldsMSL': 'mean segment length within 3 steps',\n", " 'form_mtdDeg': 'node degree of junction',\n", " 'form_lcdMes': 'local meshedness of street network',\n", " 'form_linP3W': 'local proportion of 3-way intersections of street network',\n", " 'form_linP4W': 'local proportion of 4-way intersections of street network',\n", " 'form_linPDE': 'local proportion of cul-de-sacs of street network',\n", " 'form_lcnClo': 'local closeness of street network',\n", " 'form_ldsCDL': 'local cul-de-sac length of street network',\n", " 'form_xcnSCl': 'square clustering of street network',\n", " 'form_mtdMDi': 'mean distance to neighbouring nodes of street network',\n", " 'form_lddNDe': 'local node density of street network',\n", " 'form_linWID': 'local degree weighted node density of street network',\n", " 'form_stbSAl': 'street alignment of building',\n", " 'form_sddAre': 'area covered by node-attached ETCs',\n", " 'form_sdsAre': 'area covered by edge-attached ETCs',\n", " 'form_sisBpM': 'buildings per meter of street segment',\n", " 'form_misCel': 'reached ETCs by neighbouring segments',\n", " 'form_mdsAre': 'reached area by neighbouring segments',\n", " 'form_lisCel': 'reached ETCs by local street network',\n", " 'form_ldsAre': 'reached area by local street network',\n", " 'form_ltcRea': 'reached ETCs by tessellation contiguity',\n", " 'form_ltcAre': 'reached area by tessellation contiguity',\n", " 'form_ldeAre': 'area of enclosure',\n", " 'form_ldePer': 'perimeter of enclosure',\n", " 'form_lseCCo': 'circular compactness of enclosure',\n", " 'form_lseERI': 'equivalent rectangular index of enclosure',\n", " 'form_lseCWA': 'compactness-weighted axis of enclosure',\n", " 'form_lteOri': 'orientation of enclosure',\n", " 'form_lteWNB': 'perimeter-weighted neighbours of enclosure',\n", " 'form_lieWCe': 'area-weighted ETCs of enclosure',\n", "}" ] }, { "cell_type": "markdown", "id": "herbal-schedule", "metadata": {}, "source": [ "Assing new column names" ] }, { "cell_type": "code", "execution_count": 81, "id": "looking-absence", "metadata": {}, "outputs": [], "source": [ "per_type = per_type.rename(columns=coded)" ] }, { "cell_type": "code", "execution_count": 3, "id": "furnished-exploration", "metadata": {}, "outputs": [], "source": [ "per_type.drop(\"outlier\").to_csv(\"per_type.csv\")" ] }, { "cell_type": "code", "execution_count": 84, "id": "solid-leone", "metadata": {}, "outputs": [], "source": [ "per_geometry = per_geometry.rename(columns=coded)" ] }, { "cell_type": "code", "execution_count": 85, "id": "descending-yield", "metadata": {}, "outputs": [], "source": [ "per_geometry.to_csv(\"per_geometry.csv\")" ] }, { "cell_type": "code", "execution_count": 90, "id": "capital-capitol", "metadata": {}, "outputs": [], "source": [ "pandas.Series(key).to_csv(\"key.csv\")" ] }, { "cell_type": "markdown", "id": "female-debate", "metadata": {}, "source": [ "## Pen portraits JSON" ] }, { "cell_type": "code", "execution_count": 2, "id": "horizontal-chassis", "metadata": {}, "outputs": [], "source": [ "import json\n", " \n", "portraits ={\n", " \"Wild countryside\": \"In “Wild countryside”, human influence is the least intensive. This signature covers large open spaces in the countryside where no urbanisation happens apart from occasional roads, cottages, and pastures. You can find it across the Scottish Highlands, numerous national parks such as Lake District, or in the majority of Wales.\",\n", " \"Countryside agriculture\": \"“Countryside agriculture” features much of the English countryside and displays a high degree of agriculture including both fields and pastures. There are a few buildings scattered across the area but, for the most part, it is green space.\",\n", " \"Urban buffer\": \"“Urban buffer” can be characterised as a green belt around cities. This signature includes mostly agricultural land in the immediate adjacency of towns and cities, often including edge development. It still feels more like countryside than urban, but these signatures are much smaller compared to other countryside types.\",\n", " \"Open sprawl\": \"“Open sprawl” represents the transition between countryside and urbanised land. It is located in the outskirts of cities or around smaller towns and is typically made up of large open space areas intertwined with different kinds of human development, from highways to smaller neighbourhoods.\",\n", " \"Disconnected suburbia\": \"“Disconnected suburbia” includes residential developments in the outskirts of cities or even towns and villages with convoluted, disconnected street networks, low built-up and population densities, and lack of jobs and services. This signature type is entirely car-dependent.\",\n", " \"Accessible suburbia\": \"“Accessible suburbia” covers residential development on the urban periphery with a relatively legible and connected street network, albeit less so than other more urban signature types. Areas in this signature feature low density, both in terms of population and built-up area, lack of jobs and services. For these reasons, “accessible suburbia” largely acts as dormitories.\",\n", " \"Warehouse/Park land\": \"“Warehouse/Park land” covers predominantly industrial areas and other work-related developments made of box-like buildings with large footprints. It contains many jobs of manual nature such as manufacturing or construction, and very little population live here compared to the rest of urban areas. Occasionally this type also covers areas of parks with large scale green open areas.\",\n", " \"Gridded residential quarters\": \"“Gridded residential quarters” are areas with street networks forming a well-connected grid-like (high density of 4-way intersections) pattern, resulting in places with smaller blocks and higher granularity. This signature is mostly residential but includes some services and jobs, and it tends to be located away from city centres.\",\n", " \"Connected residential neighbourhoods\": \"“Connected residential neighbourhoods” are relatively dense urban areas, both in terms of population and built-up area, that tend to be formed around well-connected street networks. They have access to services and some jobs but may be further away from city centres leading to higher dependency on cars and public transport for their residents.\",\n", " \"Dense residential neighbourhoods\": \"A “dense residential neighbourhood” is an abundant signature often covering large parts of cities outside of their centres. It has primarily residential purpose and high population density, varied street network patterns, and some services and jobs but not in high intensity.\",\n", " \"Dense urban neighbourhoods\": \"“Dense urban neighbourhoods” are areas of inner-city with high population and built-up density of a predominantly residential nature but with direct access to jobs and services. This signature type tends to be relatively walkable and, in the case of some towns, may even form their centres.\",\n", " \"Local urbanity\": \"“Local urbanity” reflects town centres, outer parts of city centres or even district centres. In all cases, this signature is very much urban in essence, combining high population and built-up density, access to amenities and jobs. Yet, it is on the lower end of the hierarchy of signature types denoting urban centres with only a local significance.\",\n", " \"Regional urbanity\": \"“Regional urbanity” captures centres of mid-size cities with regional importance such as Liverpool, Plymouth or Newcastle upon Tyne. It is often encircled by “Local urbanity” signatures and can form outer rings of city centres in large cities. It features high population density, as well as a high number of jobs and amenities within walkable distance.\",\n", " \"Metropolitan urbanity\": \"Signature type “Metropolitan urbanity” captures the centre of the largest cities in Great Britain such as Glasgow, Birmingham or Manchester. It is characterised by a very high number of jobs in the area, high built-up density and often high population density. This type serves as the core centre of the entire metropolitan areas.\",\n", " \"Concentrated urbanity\": \"Concentrated urbanity” is a signature type found in the city centre of London and nowhere else in Great Britain. It reflects the uniqueness of London in the British context with an extremely high number of jobs and amenities located nearby, as well as high built-up and population densities. Buildings in this signature are large and tightly packed, forming complex shapes with courtyards and little green space.\",\n", " \"Hyper concentrated urbanity\": \"The epitome of urbanity in the British context. “Hyper concentrated urbanity” is a signature type present only in the centre of London, around the Soho district, and covering Oxford and Regent streets. This signature is the result of centuries of urban primacy, with a multitude of historical layers interwoven, very high built-up and population density, and extreme abundance of amenities, services and jobs.\",\n", "}\n", " \n", "with open(\"pen_portraits.json\", \"w\") as outfile:\n", " json.dump(portraits, outfile, indent=4)" ] }, { "cell_type": "markdown", "id": "impaired-albuquerque", "metadata": {}, "source": [ "## Use string IDs\n", "\n", "Change integer ID for string." ] }, { "cell_type": "code", "execution_count": 4, "id": "quick-insert", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/conda/lib/python3.8/site-packages/geopandas/geodataframe.py:577: RuntimeWarning: Sequential read of iterator was interrupted. Resetting iterator. This can negatively impact the performance.\n", " for feature in features_lst:\n" ] } ], "source": [ "signatures = geopandas.read_file(\"../../urbangrammar_samba/spatial_signatures/data_product/spatial_signatures_GB.gpkg\")" ] }, { "cell_type": "code", "execution_count": 5, "id": "blond-organizer", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
idtypegeometry
00Countryside agriculturePOLYGON ((62220.000 798500.000, 62110.000 7985...
11Countryside agriculturePOLYGON ((63507.682 796515.169, 63471.097 7965...
22Countryside agriculturePOLYGON ((65953.174 802246.172, 65950.620 8022...
33Countryside agriculturePOLYGON ((67297.740 803435.800, 67220.289 8034...
44Countryside agriculturePOLYGON ((75760.000 852670.000, 75700.000 8527...
............
9669996699outlierPOLYGON ((323321.005 463795.416, 323319.842 46...
9670096700outlierPOLYGON ((325929.840 1008792.061, 325927.377 1...
9670196701outlierPOLYGON ((337804.770 1013422.583, 337800.122 1...
9670296702outlierPOLYGON ((422304.270 1147826.990, 422296.000 1...
9670396703outlierPOLYGON ((525396.260 439215.480, 525360.920 43...
\n", "

96704 rows × 3 columns

\n", "
" ], "text/plain": [ " id type \\\n", "0 0 Countryside agriculture \n", "1 1 Countryside agriculture \n", "2 2 Countryside agriculture \n", "3 3 Countryside agriculture \n", "4 4 Countryside agriculture \n", "... ... ... \n", "96699 96699 outlier \n", "96700 96700 outlier \n", "96701 96701 outlier \n", "96702 96702 outlier \n", "96703 96703 outlier \n", "\n", " geometry \n", "0 POLYGON ((62220.000 798500.000, 62110.000 7985... \n", "1 POLYGON ((63507.682 796515.169, 63471.097 7965... \n", "2 POLYGON ((65953.174 802246.172, 65950.620 8022... \n", "3 POLYGON ((67297.740 803435.800, 67220.289 8034... \n", "4 POLYGON ((75760.000 852670.000, 75700.000 8527... \n", "... ... \n", "96699 POLYGON ((323321.005 463795.416, 323319.842 46... \n", "96700 POLYGON ((325929.840 1008792.061, 325927.377 1... \n", "96701 POLYGON ((337804.770 1013422.583, 337800.122 1... \n", "96702 POLYGON ((422304.270 1147826.990, 422296.000 1... \n", "96703 POLYGON ((525396.260 439215.480, 525360.920 43... \n", "\n", "[96704 rows x 3 columns]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "signatures" ] }, { "cell_type": "code", "execution_count": 7, "id": "initial-bones", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['Countryside agriculture', 'Accessible suburbia', 'Open sprawl',\n", " 'Wild countryside', 'Warehouse land',\n", " 'Gridded residential quarters', 'Urban buffer',\n", " 'Disconnected suburbia', 'Dense residential neighbourhoods',\n", " 'Connected residential neighbourhoods',\n", " 'Dense urban neighbourhoods', 'Local urbanity',\n", " 'Distilled urbanity', 'Regional urbanity', 'outlier',\n", " 'Metropolitan urbanity', 'Hyper distilled urbanity'], dtype=object)" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "signatures[\"type\"].unique()" ] }, { "cell_type": "code", "execution_count": 8, "id": "southwest-exposure", "metadata": {}, "outputs": [], "source": [ "type_ids = {\n", " 'Countryside agriculture': \"COA\", \n", " 'Accessible suburbia': \"ACS\", \n", " 'Open sprawl': \"OPS\",\n", " 'Wild countryside': \"WIC\", \n", " 'Warehouse land': \"WAL\",\n", " 'Gridded residential quarters': \"GRQ\", \n", " 'Urban buffer': \"URB\",\n", " 'Disconnected suburbia': \"DIS\", \n", " 'Dense residential neighbourhoods': \"DRN\",\n", " 'Connected residential neighbourhoods': \"CRN\",\n", " 'Dense urban neighbourhoods': \"DUN\", \n", " 'Local urbanity': \"LOU\",\n", " 'Distilled urbanity': \"DIU\", \n", " 'Regional urbanity': \"REU\", \n", " 'Metropolitan urbanity': \"MEU\", \n", " 'Hyper distilled urbanity': \"HDU\",\n", " 'outlier': \"OUT\",\n", "}" ] }, { "cell_type": "code", "execution_count": 11, "id": "least-softball", "metadata": {}, "outputs": [], "source": [ "string_id = signatures[\"id\"].astype(str) + \"_\" + signatures[\"type\"].map(type_ids)" ] }, { "cell_type": "code", "execution_count": 12, "id": "incredible-casino", "metadata": {}, "outputs": [], "source": [ "signatures[\"id\"] = string_id\n", "signatures[\"code\"] = signatures[\"type\"].map(type_ids)" ] }, { "cell_type": "code", "execution_count": 16, "id": "lyric-profession", "metadata": {}, "outputs": [], "source": [ "signatures[[\"id\", \"code\", \"type\", \"geometry\"]].to_file(\"spatial_signatures_GB.gpkg\", driver=\"GPKG\")" ] }, { "cell_type": "code", "execution_count": 18, "id": "promotional-barrier", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
typeform_sdbAreform_sdbPerform_sdbCoAform_ssbCCoform_ssbCorform_ssbSquform_ssbERIform_ssbEloform_ssbCCM...func_supermarkets_nearestfunc_supermarkets_countsfunc_listed_nearestfunc_listed_countsfunc_fhrs_nearestfunc_fhrs_countsfunc_culture_nearestfunc_culture_countsfunc_water_nearestfunc_retail_centrenearest
0Accessible suburbia176.94913553.9026970.4768380.5348564.2538450.7752720.9877070.6422719.604873...828.8222611.890519744.22399411.273578218.460768334.4349915384.6387460.059113542.613661849.447871
1Connected residential neighbourhoods272.52222069.1199671.0698720.4809414.4455151.4664260.9794150.55546812.406840...679.9589402.855980596.61365424.279146152.479922692.6640503946.0525170.129197555.964942536.469155
2Countryside agriculture204.10040056.0489840.5058310.5062754.3711560.8090870.9777890.6000659.791869...4751.2264290.089042557.93627611.223066725.69064344.46552913156.2037650.003804304.4881814943.972107
3Dense residential neighbourhoods375.59829080.5584732.1273400.4725544.6947141.8636200.9699120.55705413.961420...661.7655943.127412506.61471537.474705144.021617860.9271023497.5111810.259194483.124139421.093530
4Dense urban neighbourhoods588.359559107.3628495.0340840.4357145.2082423.2784190.9504310.51982117.999101...587.2768104.436632350.89033962.783422106.0843581568.4435972287.4321990.476118528.850109224.326713
5Disconnected suburbia212.71395861.6316620.5193720.4915884.3479001.0192930.9817790.57378611.114826...761.8583732.067315729.60851724.181257217.945624342.0817225831.5234330.077958523.050240725.573382
6Distilled urbanity3713.379427376.300388159.0876080.42518612.48466718.5894820.7769500.59431435.927794...229.90309622.51056331.732228685.15633816.2190506297.607746702.75088010.392254565.24820329.803442
7Gridded residential quarters283.89260769.6672450.7490260.4917544.5066851.6631510.9768420.58454812.411805...577.6839743.409903516.19737631.771826129.2442041081.3765104094.9152530.240503522.087434445.518972
8Hyper distilled urbanity3358.099586330.81857690.8195440.4462929.27343822.5139540.8028920.61766937.220199...324.41631218.79104569.7492361142.56716414.1012699213.145522351.32511034.197761759.60420832.544669
9Local urbanity823.354285135.54391912.6667290.4093106.0142395.0718480.9190850.50641520.711500...483.0178626.848327216.858599140.03107382.4689612167.9099911273.2268971.129622507.706457161.854989
10Metropolitan urbanity2413.938716283.935149118.9469490.3958629.71750412.4068940.8201420.52775829.677259...299.93049617.27195851.874364456.52963040.0639824490.949206644.5312594.446825467.71363166.318054
11Open sprawl226.71509859.6397800.9004780.5185314.3719390.9857290.9824520.62230110.488328...948.0259141.469023760.25725418.171441267.238602253.8752266309.7533410.061560378.3561871002.663064
12Regional urbanity1480.260902195.97866043.1909980.3930357.7768638.8448050.8695140.51295925.254583...331.06778112.531123115.004786324.50075256.8652403163.829678850.2544872.233070461.41585990.874497
13Urban buffer209.42185855.9417020.7433950.5236324.3405400.8599730.9829040.6301259.808575...1752.8734790.654018673.93139916.138833379.169823132.6618468939.6471360.024052345.7907472102.455609
14Warehouse land393.21609775.6802703.2630390.4694664.5648901.3525360.9761020.54225613.200176...1043.8354091.427596934.00115210.570084256.220805271.0925375121.4691500.058667417.431851898.174463
15Wild countryside209.85538257.1220520.2235420.5019394.3812720.7061300.9765220.5899089.947378...9854.1239370.0289751324.0250444.2127201699.16964933.07329320695.2906650.001680236.73032411041.324478
\n", "

16 rows × 119 columns

\n", "
" ], "text/plain": [ " type form_sdbAre form_sdbPer \\\n", "0 Accessible suburbia 176.949135 53.902697 \n", "1 Connected residential neighbourhoods 272.522220 69.119967 \n", "2 Countryside agriculture 204.100400 56.048984 \n", "3 Dense residential neighbourhoods 375.598290 80.558473 \n", "4 Dense urban neighbourhoods 588.359559 107.362849 \n", "5 Disconnected suburbia 212.713958 61.631662 \n", "6 Distilled urbanity 3713.379427 376.300388 \n", "7 Gridded residential quarters 283.892607 69.667245 \n", "8 Hyper distilled urbanity 3358.099586 330.818576 \n", "9 Local urbanity 823.354285 135.543919 \n", "10 Metropolitan urbanity 2413.938716 283.935149 \n", "11 Open sprawl 226.715098 59.639780 \n", "12 Regional urbanity 1480.260902 195.978660 \n", "13 Urban buffer 209.421858 55.941702 \n", "14 Warehouse land 393.216097 75.680270 \n", "15 Wild countryside 209.855382 57.122052 \n", "\n", " form_sdbCoA form_ssbCCo form_ssbCor form_ssbSqu form_ssbERI \\\n", "0 0.476838 0.534856 4.253845 0.775272 0.987707 \n", "1 1.069872 0.480941 4.445515 1.466426 0.979415 \n", "2 0.505831 0.506275 4.371156 0.809087 0.977789 \n", "3 2.127340 0.472554 4.694714 1.863620 0.969912 \n", "4 5.034084 0.435714 5.208242 3.278419 0.950431 \n", "5 0.519372 0.491588 4.347900 1.019293 0.981779 \n", "6 159.087608 0.425186 12.484667 18.589482 0.776950 \n", "7 0.749026 0.491754 4.506685 1.663151 0.976842 \n", "8 90.819544 0.446292 9.273438 22.513954 0.802892 \n", "9 12.666729 0.409310 6.014239 5.071848 0.919085 \n", "10 118.946949 0.395862 9.717504 12.406894 0.820142 \n", "11 0.900478 0.518531 4.371939 0.985729 0.982452 \n", "12 43.190998 0.393035 7.776863 8.844805 0.869514 \n", "13 0.743395 0.523632 4.340540 0.859973 0.982904 \n", "14 3.263039 0.469466 4.564890 1.352536 0.976102 \n", "15 0.223542 0.501939 4.381272 0.706130 0.976522 \n", "\n", " form_ssbElo form_ssbCCM ... func_supermarkets_nearest \\\n", "0 0.642271 9.604873 ... 828.822261 \n", "1 0.555468 12.406840 ... 679.958940 \n", "2 0.600065 9.791869 ... 4751.226429 \n", "3 0.557054 13.961420 ... 661.765594 \n", "4 0.519821 17.999101 ... 587.276810 \n", "5 0.573786 11.114826 ... 761.858373 \n", "6 0.594314 35.927794 ... 229.903096 \n", "7 0.584548 12.411805 ... 577.683974 \n", "8 0.617669 37.220199 ... 324.416312 \n", "9 0.506415 20.711500 ... 483.017862 \n", "10 0.527758 29.677259 ... 299.930496 \n", "11 0.622301 10.488328 ... 948.025914 \n", "12 0.512959 25.254583 ... 331.067781 \n", "13 0.630125 9.808575 ... 1752.873479 \n", "14 0.542256 13.200176 ... 1043.835409 \n", "15 0.589908 9.947378 ... 9854.123937 \n", "\n", " func_supermarkets_counts func_listed_nearest func_listed_counts \\\n", "0 1.890519 744.223994 11.273578 \n", "1 2.855980 596.613654 24.279146 \n", "2 0.089042 557.936276 11.223066 \n", "3 3.127412 506.614715 37.474705 \n", "4 4.436632 350.890339 62.783422 \n", "5 2.067315 729.608517 24.181257 \n", "6 22.510563 31.732228 685.156338 \n", "7 3.409903 516.197376 31.771826 \n", "8 18.791045 69.749236 1142.567164 \n", "9 6.848327 216.858599 140.031073 \n", "10 17.271958 51.874364 456.529630 \n", "11 1.469023 760.257254 18.171441 \n", "12 12.531123 115.004786 324.500752 \n", "13 0.654018 673.931399 16.138833 \n", "14 1.427596 934.001152 10.570084 \n", "15 0.028975 1324.025044 4.212720 \n", "\n", " func_fhrs_nearest func_fhrs_counts func_culture_nearest \\\n", "0 218.460768 334.434991 5384.638746 \n", "1 152.479922 692.664050 3946.052517 \n", "2 725.690643 44.465529 13156.203765 \n", "3 144.021617 860.927102 3497.511181 \n", "4 106.084358 1568.443597 2287.432199 \n", "5 217.945624 342.081722 5831.523433 \n", "6 16.219050 6297.607746 702.750880 \n", "7 129.244204 1081.376510 4094.915253 \n", "8 14.101269 9213.145522 351.325110 \n", "9 82.468961 2167.909991 1273.226897 \n", "10 40.063982 4490.949206 644.531259 \n", "11 267.238602 253.875226 6309.753341 \n", "12 56.865240 3163.829678 850.254487 \n", "13 379.169823 132.661846 8939.647136 \n", "14 256.220805 271.092537 5121.469150 \n", "15 1699.169649 33.073293 20695.290665 \n", "\n", " func_culture_counts func_water_nearest func_retail_centrenearest \n", "0 0.059113 542.613661 849.447871 \n", "1 0.129197 555.964942 536.469155 \n", "2 0.003804 304.488181 4943.972107 \n", "3 0.259194 483.124139 421.093530 \n", "4 0.476118 528.850109 224.326713 \n", "5 0.077958 523.050240 725.573382 \n", "6 10.392254 565.248203 29.803442 \n", "7 0.240503 522.087434 445.518972 \n", "8 34.197761 759.604208 32.544669 \n", "9 1.129622 507.706457 161.854989 \n", "10 4.446825 467.713631 66.318054 \n", "11 0.061560 378.356187 1002.663064 \n", "12 2.233070 461.415859 90.874497 \n", "13 0.024052 345.790747 2102.455609 \n", "14 0.058667 417.431851 898.174463 \n", "15 0.001680 236.730324 11041.324478 \n", "\n", "[16 rows x 119 columns]" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "per_type = pandas.read_csv(\"../../urbangrammar_samba/spatial_signatures/data_product/per_type.csv\")\n", "per_type" ] }, { "cell_type": "code", "execution_count": 19, "id": "administrative-shape", "metadata": {}, "outputs": [], "source": [ "per_type[\"code\"] = per_type[\"type\"].map(type_ids)" ] }, { "cell_type": "code", "execution_count": 27, "id": "mathematical-visiting", "metadata": {}, "outputs": [], "source": [ "columns = [\"code\"] + list(per_type.columns[:-1])\n", "columns.remove(\"nodeID\")\n", "columns.remove(\"edgeID_primary\")" ] }, { "cell_type": "code", "execution_count": 82, "id": "european-tattoo", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
codetypeform_sdbAreform_sdbPerform_sdbCoAform_ssbCCoform_ssbCorform_ssbSquform_ssbERIform_ssbElo...func_supermarkets_nearestfunc_supermarkets_countsfunc_listed_nearestfunc_listed_countsfunc_fhrs_nearestfunc_fhrs_countsfunc_culture_nearestfunc_culture_countsfunc_water_nearestfunc_retail_centrenearest
0ACSAccessible suburbia176.94913553.9026970.4768380.5348564.2538450.7752720.9877070.642271...828.8222611.890519744.22399411.273578218.460768334.4349915384.6387460.059113542.613661849.447871
1CRNConnected residential neighbourhoods272.52222069.1199671.0698720.4809414.4455151.4664260.9794150.555468...679.9589402.855980596.61365424.279146152.479922692.6640503946.0525170.129197555.964942536.469155
2COACountryside agriculture204.10040056.0489840.5058310.5062754.3711560.8090870.9777890.600065...4751.2264290.089042557.93627611.223066725.69064344.46552913156.2037650.003804304.4881814943.972107
3DRNDense residential neighbourhoods375.59829080.5584732.1273400.4725544.6947141.8636200.9699120.557054...661.7655943.127412506.61471537.474705144.021617860.9271023497.5111810.259194483.124139421.093530
4DUNDense urban neighbourhoods588.359559107.3628495.0340840.4357145.2082423.2784190.9504310.519821...587.2768104.436632350.89033962.783422106.0843581568.4435972287.4321990.476118528.850109224.326713
5DISDisconnected suburbia212.71395861.6316620.5193720.4915884.3479001.0192930.9817790.573786...761.8583732.067315729.60851724.181257217.945624342.0817225831.5234330.077958523.050240725.573382
6DIUDistilled urbanity3713.379427376.300388159.0876080.42518612.48466718.5894820.7769500.594314...229.90309622.51056331.732228685.15633816.2190506297.607746702.75088010.392254565.24820329.803442
7GRQGridded residential quarters283.89260769.6672450.7490260.4917544.5066851.6631510.9768420.584548...577.6839743.409903516.19737631.771826129.2442041081.3765104094.9152530.240503522.087434445.518972
8HDUHyper distilled urbanity3358.099586330.81857690.8195440.4462929.27343822.5139540.8028920.617669...324.41631218.79104569.7492361142.56716414.1012699213.145522351.32511034.197761759.60420832.544669
9LOULocal urbanity823.354285135.54391912.6667290.4093106.0142395.0718480.9190850.506415...483.0178626.848327216.858599140.03107382.4689612167.9099911273.2268971.129622507.706457161.854989
10MEUMetropolitan urbanity2413.938716283.935149118.9469490.3958629.71750412.4068940.8201420.527758...299.93049617.27195851.874364456.52963040.0639824490.949206644.5312594.446825467.71363166.318054
11OPSOpen sprawl226.71509859.6397800.9004780.5185314.3719390.9857290.9824520.622301...948.0259141.469023760.25725418.171441267.238602253.8752266309.7533410.061560378.3561871002.663064
12REURegional urbanity1480.260902195.97866043.1909980.3930357.7768638.8448050.8695140.512959...331.06778112.531123115.004786324.50075256.8652403163.829678850.2544872.233070461.41585990.874497
13URBUrban buffer209.42185855.9417020.7433950.5236324.3405400.8599730.9829040.630125...1752.8734790.654018673.93139916.138833379.169823132.6618468939.6471360.024052345.7907472102.455609
14WALWarehouse land393.21609775.6802703.2630390.4694664.5648901.3525360.9761020.542256...1043.8354091.427596934.00115210.570084256.220805271.0925375121.4691500.058667417.431851898.174463
15WICWild countryside209.85538257.1220520.2235420.5019394.3812720.7061300.9765220.589908...9854.1239370.0289751324.0250444.2127201699.16964933.07329320695.2906650.001680236.73032411041.324478
\n", "

16 rows × 118 columns

\n", "
" ], "text/plain": [ " code type form_sdbAre form_sdbPer \\\n", "0 ACS Accessible suburbia 176.949135 53.902697 \n", "1 CRN Connected residential neighbourhoods 272.522220 69.119967 \n", "2 COA Countryside agriculture 204.100400 56.048984 \n", "3 DRN Dense residential neighbourhoods 375.598290 80.558473 \n", "4 DUN Dense urban neighbourhoods 588.359559 107.362849 \n", "5 DIS Disconnected suburbia 212.713958 61.631662 \n", "6 DIU Distilled urbanity 3713.379427 376.300388 \n", "7 GRQ Gridded residential quarters 283.892607 69.667245 \n", "8 HDU Hyper distilled urbanity 3358.099586 330.818576 \n", "9 LOU Local urbanity 823.354285 135.543919 \n", "10 MEU Metropolitan urbanity 2413.938716 283.935149 \n", "11 OPS Open sprawl 226.715098 59.639780 \n", "12 REU Regional urbanity 1480.260902 195.978660 \n", "13 URB Urban buffer 209.421858 55.941702 \n", "14 WAL Warehouse land 393.216097 75.680270 \n", "15 WIC Wild countryside 209.855382 57.122052 \n", "\n", " form_sdbCoA form_ssbCCo form_ssbCor form_ssbSqu form_ssbERI \\\n", "0 0.476838 0.534856 4.253845 0.775272 0.987707 \n", "1 1.069872 0.480941 4.445515 1.466426 0.979415 \n", "2 0.505831 0.506275 4.371156 0.809087 0.977789 \n", "3 2.127340 0.472554 4.694714 1.863620 0.969912 \n", "4 5.034084 0.435714 5.208242 3.278419 0.950431 \n", "5 0.519372 0.491588 4.347900 1.019293 0.981779 \n", "6 159.087608 0.425186 12.484667 18.589482 0.776950 \n", "7 0.749026 0.491754 4.506685 1.663151 0.976842 \n", "8 90.819544 0.446292 9.273438 22.513954 0.802892 \n", "9 12.666729 0.409310 6.014239 5.071848 0.919085 \n", "10 118.946949 0.395862 9.717504 12.406894 0.820142 \n", "11 0.900478 0.518531 4.371939 0.985729 0.982452 \n", "12 43.190998 0.393035 7.776863 8.844805 0.869514 \n", "13 0.743395 0.523632 4.340540 0.859973 0.982904 \n", "14 3.263039 0.469466 4.564890 1.352536 0.976102 \n", "15 0.223542 0.501939 4.381272 0.706130 0.976522 \n", "\n", " form_ssbElo ... func_supermarkets_nearest func_supermarkets_counts \\\n", "0 0.642271 ... 828.822261 1.890519 \n", "1 0.555468 ... 679.958940 2.855980 \n", "2 0.600065 ... 4751.226429 0.089042 \n", "3 0.557054 ... 661.765594 3.127412 \n", "4 0.519821 ... 587.276810 4.436632 \n", "5 0.573786 ... 761.858373 2.067315 \n", "6 0.594314 ... 229.903096 22.510563 \n", "7 0.584548 ... 577.683974 3.409903 \n", "8 0.617669 ... 324.416312 18.791045 \n", "9 0.506415 ... 483.017862 6.848327 \n", "10 0.527758 ... 299.930496 17.271958 \n", "11 0.622301 ... 948.025914 1.469023 \n", "12 0.512959 ... 331.067781 12.531123 \n", "13 0.630125 ... 1752.873479 0.654018 \n", "14 0.542256 ... 1043.835409 1.427596 \n", "15 0.589908 ... 9854.123937 0.028975 \n", "\n", " func_listed_nearest func_listed_counts func_fhrs_nearest \\\n", "0 744.223994 11.273578 218.460768 \n", "1 596.613654 24.279146 152.479922 \n", "2 557.936276 11.223066 725.690643 \n", "3 506.614715 37.474705 144.021617 \n", "4 350.890339 62.783422 106.084358 \n", "5 729.608517 24.181257 217.945624 \n", "6 31.732228 685.156338 16.219050 \n", "7 516.197376 31.771826 129.244204 \n", "8 69.749236 1142.567164 14.101269 \n", "9 216.858599 140.031073 82.468961 \n", "10 51.874364 456.529630 40.063982 \n", "11 760.257254 18.171441 267.238602 \n", "12 115.004786 324.500752 56.865240 \n", "13 673.931399 16.138833 379.169823 \n", "14 934.001152 10.570084 256.220805 \n", "15 1324.025044 4.212720 1699.169649 \n", "\n", " func_fhrs_counts func_culture_nearest func_culture_counts \\\n", "0 334.434991 5384.638746 0.059113 \n", "1 692.664050 3946.052517 0.129197 \n", "2 44.465529 13156.203765 0.003804 \n", "3 860.927102 3497.511181 0.259194 \n", "4 1568.443597 2287.432199 0.476118 \n", "5 342.081722 5831.523433 0.077958 \n", "6 6297.607746 702.750880 10.392254 \n", "7 1081.376510 4094.915253 0.240503 \n", "8 9213.145522 351.325110 34.197761 \n", "9 2167.909991 1273.226897 1.129622 \n", "10 4490.949206 644.531259 4.446825 \n", "11 253.875226 6309.753341 0.061560 \n", "12 3163.829678 850.254487 2.233070 \n", "13 132.661846 8939.647136 0.024052 \n", "14 271.092537 5121.469150 0.058667 \n", "15 33.073293 20695.290665 0.001680 \n", "\n", " func_water_nearest func_retail_centrenearest \n", "0 542.613661 849.447871 \n", "1 555.964942 536.469155 \n", "2 304.488181 4943.972107 \n", "3 483.124139 421.093530 \n", "4 528.850109 224.326713 \n", "5 523.050240 725.573382 \n", "6 565.248203 29.803442 \n", "7 522.087434 445.518972 \n", "8 759.604208 32.544669 \n", "9 507.706457 161.854989 \n", "10 467.713631 66.318054 \n", "11 378.356187 1002.663064 \n", "12 461.415859 90.874497 \n", "13 345.790747 2102.455609 \n", "14 417.431851 898.174463 \n", "15 236.730324 11041.324478 \n", "\n", "[16 rows x 118 columns]" ] }, "execution_count": 82, "metadata": {}, "output_type": "execute_result" } ], "source": [ "per_type[columns]" ] }, { "cell_type": "code", "execution_count": 83, "id": "entitled-hands", "metadata": {}, "outputs": [], "source": [ "per_type[columns].to_csv(\"../../urbangrammar_samba/spatial_signatures/data_product/per_type.csv\", index=False)" ] }, { "cell_type": "code", "execution_count": 30, "id": "nutritional-assist", "metadata": {}, "outputs": [], "source": [ "per_geometry = pandas.read_csv(\"../../urbangrammar_samba/spatial_signatures/data_product/per_geometry.csv\")" ] }, { "cell_type": "code", "execution_count": 31, "id": "duplicate-screening", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
idform_sdbAreform_sdbPerform_sdbCoAform_ssbCCoform_ssbCorform_ssbSquform_ssbERIform_ssbEloform_ssbCCM...func_supermarkets_nearestfunc_supermarkets_countsfunc_listed_nearestfunc_listed_countsfunc_fhrs_nearestfunc_fhrs_countsfunc_culture_nearestfunc_culture_countsfunc_water_nearestfunc_retail_centrenearest
00129.93343445.1465140.2022790.5409684.1722370.5244010.9935430.6225638.027774...1444.9359730.454774890.1962353.572864341.15279277.364322NaN0.0136.48332993403.761607
14258.46174265.6506545.2787060.5009174.3763840.5580920.9755910.57152811.094158...9034.3363890.000000736.1822621.718412642.509775126.115523NaN0.0139.41978058846.096367
29122.65539646.8883040.0000000.5095704.3369570.6064920.9818170.5781058.168939...NaN0.000000112.2326244.935484309.11519361.000000NaN0.080.0877624762.653237
311190.30894659.0228240.7645430.4945194.5419850.9976730.9673970.59809210.134862...NaN0.000000281.2893698.043478198.2968414.326087NaN0.074.3776824378.879114
414146.47781650.3089640.2297560.5094394.3820900.7694550.9745910.6079798.836870...2296.6579680.023599519.0197177.519174281.73730824.020649NaN0.0199.5443811698.769041
..................................................................
9669994815NaNNaNNaNNaNNaNNaNNaNNaNNaN...967.3549801.000000733.50897218.000000294.21798762.0000004342.3789060.00.000000731.905179
9670094853542.69750098.3342300.0000000.5186284.0000000.0782850.9998550.51630918.248347...547.6870123.00000097.22699777.000000112.3629991346.0000001062.7500001.0160.527776213.305247
9670194892NaNNaNNaNNaNNaNNaNNaNNaNNaN...457.1709905.0000000.000000515.00000038.4700012364.000000401.4110112.0410.0390480.000000
9670296021180.37840057.2781300.0000000.4997084.0000000.0252841.0000370.48482610.717266...327.5840154.000000251.1150053.000000153.737000301.0000002968.3210450.0710.912280317.166726
967039670254.74710029.6145730.0000000.6346134.0000000.0480431.0000000.9325255.238355...41921.5937500.0000000.0000004.0000001227.0260010.000000NaN0.00.00000025185.139279
\n", "

96704 rows × 119 columns

\n", "
" ], "text/plain": [ " id form_sdbAre form_sdbPer form_sdbCoA form_ssbCCo form_ssbCor \\\n", "0 0 129.933434 45.146514 0.202279 0.540968 4.172237 \n", "1 4 258.461742 65.650654 5.278706 0.500917 4.376384 \n", "2 9 122.655396 46.888304 0.000000 0.509570 4.336957 \n", "3 11 190.308946 59.022824 0.764543 0.494519 4.541985 \n", "4 14 146.477816 50.308964 0.229756 0.509439 4.382090 \n", "... ... ... ... ... ... ... \n", "96699 94815 NaN NaN NaN NaN NaN \n", "96700 94853 542.697500 98.334230 0.000000 0.518628 4.000000 \n", "96701 94892 NaN NaN NaN NaN NaN \n", "96702 96021 180.378400 57.278130 0.000000 0.499708 4.000000 \n", "96703 96702 54.747100 29.614573 0.000000 0.634613 4.000000 \n", "\n", " form_ssbSqu form_ssbERI form_ssbElo form_ssbCCM ... \\\n", "0 0.524401 0.993543 0.622563 8.027774 ... \n", "1 0.558092 0.975591 0.571528 11.094158 ... \n", "2 0.606492 0.981817 0.578105 8.168939 ... \n", "3 0.997673 0.967397 0.598092 10.134862 ... \n", "4 0.769455 0.974591 0.607979 8.836870 ... \n", "... ... ... ... ... ... \n", "96699 NaN NaN NaN NaN ... \n", "96700 0.078285 0.999855 0.516309 18.248347 ... \n", "96701 NaN NaN NaN NaN ... \n", "96702 0.025284 1.000037 0.484826 10.717266 ... \n", "96703 0.048043 1.000000 0.932525 5.238355 ... \n", "\n", " func_supermarkets_nearest func_supermarkets_counts \\\n", "0 1444.935973 0.454774 \n", "1 9034.336389 0.000000 \n", "2 NaN 0.000000 \n", "3 NaN 0.000000 \n", "4 2296.657968 0.023599 \n", "... ... ... \n", "96699 967.354980 1.000000 \n", "96700 547.687012 3.000000 \n", "96701 457.170990 5.000000 \n", "96702 327.584015 4.000000 \n", "96703 41921.593750 0.000000 \n", "\n", " func_listed_nearest func_listed_counts func_fhrs_nearest \\\n", "0 890.196235 3.572864 341.152792 \n", "1 736.182262 1.718412 642.509775 \n", "2 112.232624 4.935484 309.115193 \n", "3 281.289369 8.043478 198.296841 \n", "4 519.019717 7.519174 281.737308 \n", "... ... ... ... \n", "96699 733.508972 18.000000 294.217987 \n", "96700 97.226997 77.000000 112.362999 \n", "96701 0.000000 515.000000 38.470001 \n", "96702 251.115005 3.000000 153.737000 \n", "96703 0.000000 4.000000 1227.026001 \n", "\n", " func_fhrs_counts func_culture_nearest func_culture_counts \\\n", "0 77.364322 NaN 0.0 \n", "1 126.115523 NaN 0.0 \n", "2 61.000000 NaN 0.0 \n", "3 4.326087 NaN 0.0 \n", "4 24.020649 NaN 0.0 \n", "... ... ... ... \n", "96699 62.000000 4342.378906 0.0 \n", "96700 1346.000000 1062.750000 1.0 \n", "96701 2364.000000 401.411011 2.0 \n", "96702 301.000000 2968.321045 0.0 \n", "96703 0.000000 NaN 0.0 \n", "\n", " func_water_nearest func_retail_centrenearest \n", "0 136.483329 93403.761607 \n", "1 139.419780 58846.096367 \n", "2 80.087762 4762.653237 \n", "3 74.377682 4378.879114 \n", "4 199.544381 1698.769041 \n", "... ... ... \n", "96699 0.000000 731.905179 \n", "96700 160.527776 213.305247 \n", "96701 410.039048 0.000000 \n", "96702 710.912280 317.166726 \n", "96703 0.000000 25185.139279 \n", "\n", "[96704 rows x 119 columns]" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "per_geometry" ] }, { "cell_type": "code", "execution_count": 36, "id": "appropriate-archive", "metadata": {}, "outputs": [], "source": [ "signatures[\"intid\"] = signatures[\"id\"].str[:-4].astype(int)" ] }, { "cell_type": "code", "execution_count": 38, "id": "proof-elder", "metadata": {}, "outputs": [], "source": [ "merge = dict(zip(signatures[\"intid\"], signatures[\"id\"]))" ] }, { "cell_type": "code", "execution_count": 40, "id": "hundred-scroll", "metadata": {}, "outputs": [], "source": [ "per_geometry[\"id\"] = per_geometry[\"id\"].map(merge)" ] }, { "cell_type": "code", "execution_count": 84, "id": "macro-gravity", "metadata": {}, "outputs": [], "source": [ "per_geometry.drop(columns=[\"nodeID\", \"edgeID_primary\"]).to_csv(\"../../urbangrammar_samba/spatial_signatures/data_product/per_geometry.csv\", index=False)" ] }, { "cell_type": "code", "execution_count": 85, "id": "dying-settle", "metadata": {}, "outputs": [], "source": [ "pandas.Series(type_ids, name=\"type_code\").to_csv(\"../../urbangrammar_samba/spatial_signatures/data_product/type_code.csv\")" ] }, { "cell_type": "code", "execution_count": 50, "id": "martial-parallel", "metadata": {}, "outputs": [], "source": [ "lsoa = pandas.read_csv(\"../../urbangrammar_samba/spatial_signatures/data_product/lsoa_estimates.csv\", index_col=0)" ] }, { "cell_type": "code", "execution_count": 57, "id": "hollywood-convenience", "metadata": {}, "outputs": [], "source": [ "lsoa.columns = lsoa.columns[:2].append(lsoa.columns.map(type_ids)[2:])" ] }, { "cell_type": "code", "execution_count": 58, "id": "favorite-queensland", "metadata": {}, "outputs": [], "source": [ "lsoa[\"primary_code\"] = lsoa[\"primary_type\"].map(type_ids)" ] }, { "cell_type": "code", "execution_count": 89, "id": "civic-washer", "metadata": {}, "outputs": [], "source": [ "lsoa[[\"LSOA11CD\", \"primary_code\"] + list(lsoa.columns[1:-1])].to_csv(\"../../urbangrammar_samba/spatial_signatures/data_product/lsoa_estimates.csv\", index=False)" ] }, { "cell_type": "code", "execution_count": 63, "id": "constant-problem", "metadata": {}, "outputs": [], "source": [ "oa = pandas.read_csv(\"../../urbangrammar_samba/spatial_signatures/data_product/output_area_estimates.csv\", index_col=0)" ] }, { "cell_type": "code", "execution_count": 68, "id": "confident-tokyo", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
OA11CDprimary_typeNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNprimary_code
0E00000001Distilled urbanity0.0000000.00.0000000.0000000.00.00.0000000.0...0.01.00.00.00.00.0DIUDIUDIUDIU
1E00000003Distilled urbanity0.0000000.00.0000000.0000000.00.00.0000000.0...0.01.00.00.00.00.0DIUDIUDIUDIU
2E00000005Distilled urbanity0.0000000.00.0000000.0000000.00.00.0000000.0...0.01.00.00.00.00.0DIUDIUDIUDIU
3E00000007Distilled urbanity0.0000000.00.0000000.0000000.00.00.0000000.0...0.01.00.00.00.00.0DIUDIUDIUDIU
4E00000010Distilled urbanity0.0000000.00.0000000.0000000.00.00.0000000.0...0.01.00.00.00.00.0DIUDIUDIUDIU
..................................................................
227754S00094726Wild countryside0.0000000.00.0000000.9657380.00.00.0000000.0...0.00.00.00.00.00.0WICWICWICWIC
227755S00102583Urban buffer0.0000000.00.0760190.0000000.00.00.9239810.0...0.00.00.00.00.00.0URBURBURBURB
227756S00119179Wild countryside0.0000000.00.0000000.9951020.00.00.0005940.0...0.00.00.00.00.00.0WICWICWICWIC
227757S00119262Wild countryside0.0000000.00.0000000.9828810.00.00.0000000.0...0.00.00.00.00.00.0WICWICWICWIC
227758S00126169Countryside agriculture0.9996240.00.0000000.0003770.00.00.0000000.0...0.00.00.00.00.00.0COACOACOACOA
\n", "

227759 rows × 23 columns

\n", "
" ], "text/plain": [ " OA11CD primary_type NaN NaN NaN NaN \\\n", "0 E00000001 Distilled urbanity 0.000000 0.0 0.000000 0.000000 \n", "1 E00000003 Distilled urbanity 0.000000 0.0 0.000000 0.000000 \n", "2 E00000005 Distilled urbanity 0.000000 0.0 0.000000 0.000000 \n", "3 E00000007 Distilled urbanity 0.000000 0.0 0.000000 0.000000 \n", "4 E00000010 Distilled urbanity 0.000000 0.0 0.000000 0.000000 \n", "... ... ... ... ... ... ... \n", "227754 S00094726 Wild countryside 0.000000 0.0 0.000000 0.965738 \n", "227755 S00102583 Urban buffer 0.000000 0.0 0.076019 0.000000 \n", "227756 S00119179 Wild countryside 0.000000 0.0 0.000000 0.995102 \n", "227757 S00119262 Wild countryside 0.000000 0.0 0.000000 0.982881 \n", "227758 S00126169 Countryside agriculture 0.999624 0.0 0.000000 0.000377 \n", "\n", " NaN NaN NaN NaN ... NaN NaN NaN NaN NaN NaN NaN NaN \\\n", "0 0.0 0.0 0.000000 0.0 ... 0.0 1.0 0.0 0.0 0.0 0.0 DIU DIU \n", "1 0.0 0.0 0.000000 0.0 ... 0.0 1.0 0.0 0.0 0.0 0.0 DIU DIU \n", "2 0.0 0.0 0.000000 0.0 ... 0.0 1.0 0.0 0.0 0.0 0.0 DIU DIU \n", "3 0.0 0.0 0.000000 0.0 ... 0.0 1.0 0.0 0.0 0.0 0.0 DIU DIU \n", "4 0.0 0.0 0.000000 0.0 ... 0.0 1.0 0.0 0.0 0.0 0.0 DIU DIU \n", "... ... ... ... ... ... ... ... ... ... ... ... ... ... \n", "227754 0.0 0.0 0.000000 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 WIC WIC \n", "227755 0.0 0.0 0.923981 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 URB URB \n", "227756 0.0 0.0 0.000594 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 WIC WIC \n", "227757 0.0 0.0 0.000000 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 WIC WIC \n", "227758 0.0 0.0 0.000000 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 COA COA \n", "\n", " NaN primary_code \n", "0 DIU DIU \n", "1 DIU DIU \n", "2 DIU DIU \n", "3 DIU DIU \n", "4 DIU DIU \n", "... ... ... \n", "227754 WIC WIC \n", "227755 URB URB \n", "227756 WIC WIC \n", "227757 WIC WIC \n", "227758 COA COA \n", "\n", "[227759 rows x 23 columns]" ] }, "execution_count": 68, "metadata": {}, "output_type": "execute_result" } ], "source": [ "oa.columns = oa.columns[:2].append(oa.columns.map(type_ids)[2:])\n", "oa[\"primary_code\"] = oa[\"primary_type\"].map(type_ids)\n", "oa" ] }, { "cell_type": "code", "execution_count": 77, "id": "manufactured-colonial", "metadata": {}, "outputs": [], "source": [ "oa = oa[list(oa.columns[:19]) + [\"primary_code\"]]\n", "oa.columns = list(oa.columns[:2]) + list(lsoa.columns[2:])" ] }, { "cell_type": "code", "execution_count": 91, "id": "civil-quality", "metadata": {}, "outputs": [], "source": [ "oa[[\"OA11CD\", \"primary_code\"] + list(oa.columns[1:-1])].to_csv(\"../../urbangrammar_samba/spatial_signatures/data_product/output_area_estimates.csv\", index=False)" ] }, { "cell_type": "markdown", "id": "arabic-aging", "metadata": {}, "source": [ "Not needed in this notebook but it is good to have them all at one place." ] }, { "cell_type": "code", "execution_count": 4, "id": "corporate-imaging", "metadata": {}, "outputs": [], "source": [ "key_for_all = {\n", " 'population_q1': 'Population (Q1)',\n", " 'population_q2': 'Population (Q2)',\n", " 'population_q3': 'Population (Q3)',\n", " 'night_lights_q1': 'Night lights (Q1)',\n", " 'night_lights_q2': 'Night lights (Q2)',\n", " 'night_lights_q3': 'Night lights (Q3)',\n", " 'A, B, D, E. Agriculture, energy and water_q1': 'Workplace population [Agriculture, energy and water] (Q1)',\n", " 'A, B, D, E. Agriculture, energy and water_q2': 'Workplace population [Agriculture, energy and water] (Q2)',\n", " 'A, B, D, E. Agriculture, energy and water_q3': 'Workplace population [Agriculture, energy and water] (Q3)',\n", " 'C. Manufacturing_q1': 'Workplace population [Manufacturing] (Q1)',\n", " 'C. Manufacturing_q2': 'Workplace population [Manufacturing] (Q2)',\n", " 'C. Manufacturing_q3': 'Workplace population [Manufacturing] (Q3)',\n", " 'F. Construction_q1': 'Workplace population [Construction] (Q1)',\n", " 'F. Construction_q2': 'Workplace population [Construction] (Q2)',\n", " 'F. Construction_q3': 'Workplace population [Construction] (Q3)',\n", " 'G, I. Distribution, hotels and restaurants_q1': 'Workplace population [Distribution, hotels and restaurants] (Q1)',\n", " 'G, I. Distribution, hotels and restaurants_q2': 'Workplace population [Distribution, hotels and restaurants] (Q2)',\n", " 'G, I. Distribution, hotels and restaurants_q3': 'Workplace population [Distribution, hotels and restaurants] (Q3)',\n", " 'H, J. Transport and communication_q1': 'Workplace population [Transport and communication] (Q1)',\n", " 'H, J. Transport and communication_q2': 'Workplace population [Transport and communication] (Q2)',\n", " 'H, J. Transport and communication_q3': 'Workplace population [Transport and communication] (Q3)',\n", " 'K, L, M, N. Financial, real estate, professional and administrative activities_q1': 'Workplace population [Financial, real estate, professional and administrative activities] (Q1)',\n", " 'K, L, M, N. Financial, real estate, professional and administrative activities_q2': 'Workplace population [Financial, real estate, professional and administrative activities] (Q2)',\n", " 'K, L, M, N. Financial, real estate, professional and administrative activities_q3': 'Workplace population [Financial, real estate, professional and administrative activities] (Q3)',\n", " 'O,P,Q. Public administration, education and health_q1': 'Workplace population [Public administration, education and health] (Q1)',\n", " 'O,P,Q. Public administration, education and health_q2': 'Workplace population [Public administration, education and health] (Q2)',\n", " 'O,P,Q. Public administration, education and health_q3': 'Workplace population [Public administration, education and health] (Q3)',\n", " 'R, S, T, U. Other_q1': 'Workplace population [Other] (Q1)',\n", " 'R, S, T, U. Other_q2': 'Workplace population [Other] (Q2)',\n", " 'R, S, T, U. Other_q3': 'Workplace population [Other] (Q3)',\n", " 'Code_18_124_q1': 'Land cover [Airports] (Q1)',\n", " 'Code_18_124_q2': 'Land cover [Airports] (Q2)',\n", " 'Code_18_124_q3': 'Land cover [Airports] (Q3)',\n", " 'Code_18_211_q1': 'Land cover [Non-irrigated arable land] (Q1)',\n", " 'Code_18_211_q2': 'Land cover [Non-irrigated arable land] (Q2)',\n", " 'Code_18_211_q3': 'Land cover [Non-irrigated arable land] (Q3)',\n", " 'Code_18_121_q1': 'Land cover [Industrial or commercial units] (Q1)',\n", " 'Code_18_121_q2': 'Land cover [Industrial or commercial units] (Q2)',\n", " 'Code_18_121_q3': 'Land cover [Industrial or commercial units] (Q3)',\n", " 'Code_18_421_q1': 'Land cover [Salt marshes] (Q1)',\n", " 'Code_18_421_q2': 'Land cover [Salt marshes] (Q2)',\n", " 'Code_18_421_q3': 'Land cover [Salt marshes] (Q3)',\n", " 'Code_18_522_q1': 'Land cover [Estuaries] (Q1)',\n", " 'Code_18_522_q2': 'Land cover [Estuaries] (Q2)',\n", " 'Code_18_522_q3': 'Land cover [Estuaries] (Q3)',\n", " 'Code_18_142_q1': 'Land cover [Sport and leisure facilities] (Q1)',\n", " 'Code_18_142_q2': 'Land cover [Sport and leisure facilities] (Q2)',\n", " 'Code_18_142_q3': 'Land cover [Sport and leisure facilities] (Q3)',\n", " 'Code_18_141_q1': 'Land cover [Green urban areas] (Q1)',\n", " 'Code_18_141_q2': 'Land cover [Green urban areas] (Q2)',\n", " 'Code_18_141_q3': 'Land cover [Green urban areas] (Q3)',\n", " 'Code_18_112_q1': 'Land cover [Discontinuous urban fabric] (Q1)',\n", " 'Code_18_112_q2': 'Land cover [Discontinuous urban fabric] (Q2)',\n", " 'Code_18_112_q3': 'Land cover [Discontinuous urban fabric] (Q3)',\n", " 'Code_18_231_q1': 'Land cover [Pastures] (Q1)',\n", " 'Code_18_231_q2': 'Land cover [Pastures] (Q2)',\n", " 'Code_18_231_q3': 'Land cover [Pastures] (Q3)',\n", " 'Code_18_311_q1': 'Land cover [Broad-leaved forest] (Q1)',\n", " 'Code_18_311_q2': 'Land cover [Broad-leaved forest] (Q2)',\n", " 'Code_18_311_q3': 'Land cover [Broad-leaved forest] (Q3)',\n", " 'Code_18_131_q1': 'Land cover [Mineral extraction sites] (Q1)',\n", " 'Code_18_131_q2': 'Land cover [Mineral extraction sites] (Q2)',\n", " 'Code_18_131_q3': 'Land cover [Mineral extraction sites] (Q3)',\n", " 'Code_18_123_q1': 'Land cover [Port areas] (Q1)',\n", " 'Code_18_123_q2': 'Land cover [Port areas] (Q2)',\n", " 'Code_18_123_q3': 'Land cover [Port areas] (Q3)',\n", " 'Code_18_122_q1': 'Land cover [Road and rail networks and associated land] (Q1)',\n", " 'Code_18_122_q2': 'Land cover [Road and rail networks and associated land] (Q2)',\n", " 'Code_18_122_q3': 'Land cover [Road and rail networks and associated land] (Q3)',\n", " 'Code_18_512_q1': 'Land cover [Water bodies] (Q1)',\n", " 'Code_18_512_q2': 'Land cover [Water bodies] (Q2)',\n", " 'Code_18_512_q3': 'Land cover [Water bodies] (Q3)',\n", " 'Code_18_243_q1': 'Land cover [Land principally occupied by agriculture, with significant areas of natural vegetation] (Q1)',\n", " 'Code_18_243_q2': 'Land cover [Land principally occupied by agriculture, with significant areas of natural vegetation] (Q2)',\n", " 'Code_18_243_q3': 'Land cover [Land principally occupied by agriculture, with significant areas of natural vegetation] (Q3)',\n", " 'Code_18_313_q1': 'Land cover [Mixed forest] (Q1)',\n", " 'Code_18_313_q2': 'Land cover [Mixed forest] (Q2)',\n", " 'Code_18_313_q3': 'Land cover [Mixed forest] (Q3)',\n", " 'Code_18_412_q1': 'Land cover [Peat bogs] (Q1)',\n", " 'Code_18_412_q2': 'Land cover [Peat bogs] (Q2)',\n", " 'Code_18_412_q3': 'Land cover [Peat bogs] (Q3)',\n", " 'Code_18_321_q1': 'Land cover [Natural grasslands] (Q1)',\n", " 'Code_18_321_q2': 'Land cover [Natural grasslands] (Q2)',\n", " 'Code_18_321_q3': 'Land cover [Natural grasslands] (Q3)',\n", " 'Code_18_322_q1': 'Land cover [Moors and heathland] (Q1)',\n", " 'Code_18_322_q2': 'Land cover [Moors and heathland] (Q2)',\n", " 'Code_18_322_q3': 'Land cover [Moors and heathland] (Q3)',\n", " 'Code_18_324_q1': 'Land cover [Transitional woodland-shrub] (Q1)',\n", " 'Code_18_324_q2': 'Land cover [Transitional woodland-shrub] (Q2)',\n", " 'Code_18_324_q3': 'Land cover [Transitional woodland-shrub] (Q3)',\n", " 'Code_18_111_q1': 'Land cover [Continuous urban fabric] (Q1)',\n", " 'Code_18_111_q2': 'Land cover [Continuous urban fabric] (Q2)',\n", " 'Code_18_111_q3': 'Land cover [Continuous urban fabric] (Q3)',\n", " 'Code_18_423_q1': 'Land cover [Intertidal flats] (Q1)',\n", " 'Code_18_423_q2': 'Land cover [Intertidal flats] (Q2)',\n", " 'Code_18_423_q3': 'Land cover [Intertidal flats] (Q3)',\n", " 'Code_18_523_q1': 'Land cover [Sea and ocean] (Q1)',\n", " 'Code_18_523_q2': 'Land cover [Sea and ocean] (Q2)',\n", " 'Code_18_523_q3': 'Land cover [Sea and ocean] (Q3)',\n", " 'Code_18_312_q1': 'Land cover [Coniferous forest] (Q1)',\n", " 'Code_18_312_q2': 'Land cover [Coniferous forest] (Q2)',\n", " 'Code_18_312_q3': 'Land cover [Coniferous forest] (Q3)',\n", " 'Code_18_133_q1': 'Land cover [Construction sites] (Q1)',\n", " 'Code_18_133_q2': 'Land cover [Construction sites] (Q2)',\n", " 'Code_18_133_q3': 'Land cover [Construction sites] (Q3)',\n", " 'Code_18_333_q1': 'Land cover [Sparsely vegetated areas] (Q1)',\n", " 'Code_18_333_q2': 'Land cover [Sparsely vegetated areas] (Q2)',\n", " 'Code_18_333_q3': 'Land cover [Sparsely vegetated areas] (Q3)',\n", " 'Code_18_332_q1': 'Land cover [Bare rocks] (Q1)',\n", " 'Code_18_332_q2': 'Land cover [Bare rocks] (Q2)',\n", " 'Code_18_332_q3': 'Land cover [Bare rocks] (Q3)',\n", " 'Code_18_411_q1': 'Land cover [Inland marshes] (Q1)',\n", " 'Code_18_411_q2': 'Land cover [Inland marshes] (Q2)',\n", " 'Code_18_411_q3': 'Land cover [Inland marshes] (Q3)',\n", " 'Code_18_132_q1': 'Land cover [Dump sites] (Q1)',\n", " 'Code_18_331_q2': 'Land cover [Beaches, dunes, sands] (Q2)',\n", " 'Code_18_222_q1': 'Land cover [Fruit trees and berry plantations] (Q1)',\n", " 'Code_18_511_q3': 'Land cover [Water courses] (Q3)',\n", " 'Code_18_242_q1': 'Land cover [Complex cultivation patterns] (Q1)',\n", " 'Code_18_511_q2': 'Land cover [Water courses] (Q2)',\n", " 'Code_18_242_q3': 'Land cover [Complex cultivation patterns] (Q3)',\n", " 'Code_18_331_q1': 'Land cover [Beaches, dunes, sands] (Q1)',\n", " 'Code_18_334_q2': 'Land cover [Burnt areas] (Q2)',\n", " 'Code_18_511_q1': 'Land cover [Water courses] (Q1)',\n", " 'Code_18_334_q1': 'Land cover [Burnt areas] (Q1)',\n", " 'Code_18_222_q3': 'Land cover [Fruit trees and berry plantations] (Q3)',\n", " 'Code_18_242_q2': 'Land cover [Complex cultivation patterns] (Q2)',\n", " 'Code_18_244_q3': 'Land cover [Agro-forestry areas] (Q3)',\n", " 'Code_18_521_q2': 'Land cover [Coastal lagoons] (Q2)',\n", " 'Code_18_334_q3': 'Land cover [Burnt areas] (Q3)',\n", " 'Code_18_244_q1': 'Land cover [Agro-forestry areas] (Q1)',\n", " 'Code_18_244_q2': 'Land cover [Agro-forestry areas] (Q2)',\n", " 'Code_18_331_q3': 'Land cover [Beaches, dunes, sands] (Q3)',\n", " 'Code_18_132_q2': 'Land cover [Dump sites] (Q2)',\n", " 'Code_18_132_q3': 'Land cover [Dump sites] (Q3)',\n", " 'Code_18_521_q1': 'Land cover [Coastal lagoons] (Q1)',\n", " 'Code_18_222_q2': 'Land cover [Fruit trees and berry plantations] (Q2)',\n", " 'Code_18_521_q3': 'Land cover [Coastal lagoons] (Q3)',\n", " 'mean_q1': 'NDVI (Q1)',\n", " 'mean_q2': 'NDVI (Q2)',\n", " 'mean_q3': 'NDVI (Q3)',\n", " 'supermarkets_nearest': 'Supermarkets [distance to nearest]',\n", " 'supermarkets_counts': 'Supermarkets [counts within 1200m]',\n", " 'listed_nearest': 'Listed buildings [distance to nearest]',\n", " 'listed_counts': 'Listed buildings [counts within 1200m]',\n", " 'fhrs_nearest': 'FHRS points [distance to nearest]',\n", " 'fhrs_counts': 'FHRS points [counts within 1200m]',\n", " 'culture_nearest': 'Cultural venues [distance to nearest]',\n", " 'culture_counts': 'Cultural venues [counts within 1200m]',\n", " 'nearest_water': 'Water bodies [distance to nearest]',\n", " 'nearest_retail_centre': 'Retail centres [distance to nearest]',\n", " 'sdbAre_q1': 'area of building (Q1)',\n", " 'sdbAre_q2': 'area of building (Q2)',\n", " 'sdbAre_q3': 'area of building (Q3)',\n", " 'sdbPer_q1': 'perimeter of building (Q1)',\n", " 'sdbPer_q2': 'perimeter of building (Q2)',\n", " 'sdbPer_q3': 'perimeter of building (Q3)',\n", " 'sdbCoA_q1': 'courtyard area of building (Q1)',\n", " 'sdbCoA_q2': 'courtyard area of building (Q2)',\n", " 'sdbCoA_q3': 'courtyard area of building (Q3)',\n", " 'ssbCCo_q1': 'circular compactness of building (Q1)',\n", " 'ssbCCo_q2': 'circular compactness of building (Q2)',\n", " 'ssbCCo_q3': 'circular compactness of building (Q3)',\n", " 'ssbCor_q1': 'corners of building (Q1)',\n", " 'ssbCor_q2': 'corners of building (Q2)',\n", " 'ssbCor_q3': 'corners of building (Q3)',\n", " 'ssbSqu_q1': 'squareness of building (Q1)',\n", " 'ssbSqu_q2': 'squareness of building (Q2)',\n", " 'ssbSqu_q3': 'squareness of building (Q3)',\n", " 'ssbERI_q1': 'equivalent rectangular index of building (Q1)',\n", " 'ssbERI_q2': 'equivalent rectangular index of building (Q2)',\n", " 'ssbERI_q3': 'equivalent rectangular index of building (Q3)',\n", " 'ssbElo_q1': 'elongation of building (Q1)',\n", " 'ssbElo_q2': 'elongation of building (Q2)',\n", " 'ssbElo_q3': 'elongation of building (Q3)',\n", " 'ssbCCM_q1': 'centroid - corner mean distance of building (Q1)',\n", " 'ssbCCM_q2': 'centroid - corner mean distance of building (Q2)',\n", " 'ssbCCM_q3': 'centroid - corner mean distance of building (Q3)',\n", " 'ssbCCD_q1': 'centroid - corner distance deviation of building (Q1)',\n", " 'ssbCCD_q2': 'centroid - corner distance deviation of building (Q2)',\n", " 'ssbCCD_q3': 'centroid - corner distance deviation of building (Q3)',\n", " 'stbOri_q1': 'orientation of building (Q1)',\n", " 'stbOri_q2': 'orientation of building (Q2)',\n", " 'stbOri_q3': 'orientation of building (Q3)',\n", " 'sdcLAL_q1': 'longest axis length of ETC (Q1)',\n", " 'sdcLAL_q2': 'longest axis length of ETC (Q2)',\n", " 'sdcLAL_q3': 'longest axis length of ETC (Q3)',\n", " 'sdcAre_q1': 'area of ETC (Q1)',\n", " 'sdcAre_q2': 'area of ETC (Q2)',\n", " 'sdcAre_q3': 'area of ETC (Q3)',\n", " 'sscCCo_q1': 'circular compactness of ETC (Q1)',\n", " 'sscCCo_q2': 'circular compactness of ETC (Q2)',\n", " 'sscCCo_q3': 'circular compactness of ETC (Q3)',\n", " 'sscERI_q1': 'equivalent rectangular index of ETC (Q1)',\n", " 'sscERI_q2': 'equivalent rectangular index of ETC (Q2)',\n", " 'sscERI_q3': 'equivalent rectangular index of ETC (Q3)',\n", " 'stcOri_q1': 'orientation of ETC (Q1)',\n", " 'stcOri_q2': 'orientation of ETC (Q2)',\n", " 'stcOri_q3': 'orientation of ETC (Q3)',\n", " 'sicCAR_q1': 'covered area ratio of ETC (Q1)',\n", " 'sicCAR_q2': 'covered area ratio of ETC (Q2)',\n", " 'sicCAR_q3': 'covered area ratio of ETC (Q3)',\n", " 'stbCeA_q1': 'cell alignment of building (Q1)',\n", " 'stbCeA_q2': 'cell alignment of building (Q2)',\n", " 'stbCeA_q3': 'cell alignment of building (Q3)',\n", " 'mtbAli_q1': 'alignment of neighbouring buildings (Q1)',\n", " 'mtbAli_q2': 'alignment of neighbouring buildings (Q2)',\n", " 'mtbAli_q3': 'alignment of neighbouring buildings (Q3)',\n", " 'mtbNDi_q1': 'mean distance between neighbouring buildings (Q1)',\n", " 'mtbNDi_q2': 'mean distance between neighbouring buildings (Q2)',\n", " 'mtbNDi_q3': 'mean distance between neighbouring buildings (Q3)',\n", " 'mtcWNe_q1': 'perimeter-weighted neighbours of ETC (Q1)',\n", " 'mtcWNe_q2': 'perimeter-weighted neighbours of ETC (Q2)',\n", " 'mtcWNe_q3': 'perimeter-weighted neighbours of ETC (Q3)',\n", " 'mdcAre_q1': 'area covered by neighbouring cells (Q1)',\n", " 'mdcAre_q2': 'area covered by neighbouring cells (Q2)',\n", " 'mdcAre_q3': 'area covered by neighbouring cells (Q3)',\n", " 'ltcWRE_q1': 'weighted reached enclosures of ETC (Q1)',\n", " 'ltcWRE_q2': 'weighted reached enclosures of ETC (Q2)',\n", " 'ltcWRE_q3': 'weighted reached enclosures of ETC (Q3)',\n", " 'ltbIBD_q1': 'mean inter-building distance (Q1)',\n", " 'ltbIBD_q2': 'mean inter-building distance (Q2)',\n", " 'ltbIBD_q3': 'mean inter-building distance (Q3)',\n", " 'sdsSPW_q1': 'width of street profile (Q1)',\n", " 'sdsSPW_q2': 'width of street profile (Q2)',\n", " 'sdsSPW_q3': 'width of street profile (Q3)',\n", " 'sdsSWD_q1': 'width deviation of street profile (Q1)',\n", " 'sdsSWD_q2': 'width deviation of street profile (Q2)',\n", " 'sdsSWD_q3': 'width deviation of street profile (Q3)',\n", " 'sdsSPO_q1': 'openness of street profile (Q1)',\n", " 'sdsSPO_q2': 'openness of street profile (Q2)',\n", " 'sdsSPO_q3': 'openness of street profile (Q3)',\n", " 'sdsLen_q1': 'length of street segment (Q1)',\n", " 'sdsLen_q2': 'length of street segment (Q2)',\n", " 'sdsLen_q3': 'length of street segment (Q3)',\n", " 'sssLin_q1': 'linearity of street segment (Q1)',\n", " 'sssLin_q2': 'linearity of street segment (Q2)',\n", " 'sssLin_q3': 'linearity of street segment (Q3)',\n", " 'ldsMSL_q1': 'mean segment length within 3 steps (Q1)',\n", " 'ldsMSL_q2': 'mean segment length within 3 steps (Q2)',\n", " 'ldsMSL_q3': 'mean segment length within 3 steps (Q3)',\n", " 'mtdDeg_q1': 'node degree of junction (Q1)',\n", " 'mtdDeg_q2': 'node degree of junction (Q2)',\n", " 'mtdDeg_q3': 'node degree of junction (Q3)',\n", " 'lcdMes_q1': 'local meshedness of street network (Q1)',\n", " 'lcdMes_q2': 'local meshedness of street network (Q2)',\n", " 'lcdMes_q3': 'local meshedness of street network (Q3)',\n", " 'linP3W_q1': 'local proportion of 3-way intersections of street network (Q1)',\n", " 'linP3W_q2': 'local proportion of 3-way intersections of street network (Q2)',\n", " 'linP3W_q3': 'local proportion of 3-way intersections of street network (Q3)',\n", " 'linP4W_q1': 'local proportion of 4-way intersections of street network (Q1)',\n", " 'linP4W_q2': 'local proportion of 4-way intersections of street network (Q2)',\n", " 'linP4W_q3': 'local proportion of 4-way intersections of street network (Q3)',\n", " 'linPDE_q1': 'local proportion of cul-de-sacs of street network (Q1)',\n", " 'linPDE_q2': 'local proportion of cul-de-sacs of street network (Q2)',\n", " 'linPDE_q3': 'local proportion of cul-de-sacs of street network (Q3)',\n", " 'lcnClo_q1': 'local closeness of street network (Q1)',\n", " 'lcnClo_q2': 'local closeness of street network (Q2)',\n", " 'lcnClo_q3': 'local closeness of street network (Q3)',\n", " 'ldsCDL_q1': 'local cul-de-sac length of street network (Q1)',\n", " 'ldsCDL_q2': 'local cul-de-sac length of street network (Q2)',\n", " 'ldsCDL_q3': 'local cul-de-sac length of street network (Q3)',\n", " 'xcnSCl_q1': 'square clustering of street network (Q1)',\n", " 'xcnSCl_q2': 'square clustering of street network (Q2)',\n", " 'xcnSCl_q3': 'square clustering of street network (Q3)',\n", " 'mtdMDi_q1': 'mean distance to neighbouring nodes of street network (Q1)',\n", " 'mtdMDi_q2': 'mean distance to neighbouring nodes of street network (Q2)',\n", " 'mtdMDi_q3': 'mean distance to neighbouring nodes of street network (Q3)',\n", " 'lddNDe_q1': 'local node density of street network (Q1)',\n", " 'lddNDe_q2': 'local node density of street network (Q2)',\n", " 'lddNDe_q3': 'local node density of street network (Q3)',\n", " 'linWID_q1': 'local degree weighted node density of street network (Q1)',\n", " 'linWID_q2': 'local degree weighted node density of street network (Q2)',\n", " 'linWID_q3': 'local degree weighted node density of street network (Q3)',\n", " 'stbSAl_q1': 'street alignment of building (Q1)',\n", " 'stbSAl_q2': 'street alignment of building (Q2)',\n", " 'stbSAl_q3': 'street alignment of building (Q3)',\n", " 'sddAre_q1': 'area covered by node-attached ETCs (Q1)',\n", " 'sddAre_q2': 'area covered by node-attached ETCs (Q2)',\n", " 'sddAre_q3': 'area covered by node-attached ETCs (Q3)',\n", " 'sdsAre_q1': 'area covered by edge-attached ETCs (Q1)',\n", " 'sdsAre_q2': 'area covered by edge-attached ETCs (Q2)',\n", " 'sdsAre_q3': 'area covered by edge-attached ETCs (Q3)',\n", " 'sisBpM_q1': 'buildings per meter of street segment (Q1)',\n", " 'sisBpM_q2': 'buildings per meter of street segment (Q2)',\n", " 'sisBpM_q3': 'buildings per meter of street segment (Q3)',\n", " 'misCel_q1': 'reached ETCs by neighbouring segments (Q1)',\n", " 'misCel_q2': 'reached ETCs by neighbouring segments (Q2)',\n", " 'misCel_q3': 'reached ETCs by neighbouring segments (Q3)',\n", " 'mdsAre_q1': 'reached area by neighbouring segments (Q1)',\n", " 'mdsAre_q2': 'reached area by neighbouring segments (Q2)',\n", " 'mdsAre_q3': 'reached area by neighbouring segments (Q3)',\n", " 'lisCel_q1': 'reached ETCs by local street network (Q1)',\n", " 'lisCel_q2': 'reached ETCs by local street network (Q2)',\n", " 'lisCel_q3': 'reached ETCs by local street network (Q3)',\n", " 'ldsAre_q1': 'reached area by local street network (Q1)',\n", " 'ldsAre_q2': 'reached area by local street network (Q2)',\n", " 'ldsAre_q3': 'reached area by local street network (Q3)',\n", " 'ltcRea_q1': 'reached ETCs by tessellation contiguity (Q1)',\n", " 'ltcRea_q2': 'reached ETCs by tessellation contiguity (Q2)',\n", " 'ltcRea_q3': 'reached ETCs by tessellation contiguity (Q3)',\n", " 'ltcAre_q1': 'reached area by tessellation contiguity (Q1)',\n", " 'ltcAre_q2': 'reached area by tessellation contiguity (Q2)',\n", " 'ltcAre_q3': 'reached area by tessellation contiguity (Q3)',\n", " 'ldeAre_q1': 'area of enclosure (Q1)',\n", " 'ldeAre_q2': 'area of enclosure (Q2)',\n", " 'ldeAre_q3': 'area of enclosure (Q3)',\n", " 'ldePer_q1': 'perimeter of enclosure (Q1)',\n", " 'ldePer_q2': 'perimeter of enclosure (Q2)',\n", " 'ldePer_q3': 'perimeter of enclosure (Q3)',\n", " 'lseCCo_q1': 'circular compactness of enclosure (Q1)',\n", " 'lseCCo_q2': 'circular compactness of enclosure (Q2)',\n", " 'lseCCo_q3': 'circular compactness of enclosure (Q3)',\n", " 'lseERI_q1': 'equivalent rectangular index of enclosure (Q1)',\n", " 'lseERI_q2': 'equivalent rectangular index of enclosure (Q2)',\n", " 'lseERI_q3': 'equivalent rectangular index of enclosure (Q3)',\n", " 'lseCWA_q1': 'compactness-weighted axis of enclosure (Q1)',\n", " 'lseCWA_q2': 'compactness-weighted axis of enclosure (Q2)',\n", " 'lseCWA_q3': 'compactness-weighted axis of enclosure (Q3)',\n", " 'lteOri_q1': 'orientation of enclosure (Q1)',\n", " 'lteOri_q2': 'orientation of enclosure (Q2)',\n", " 'lteOri_q3': 'orientation of enclosure (Q3)',\n", " 'lteWNB_q1': 'perimeter-weighted neighbours of enclosure (Q1)',\n", " 'lteWNB_q2': 'perimeter-weighted neighbours of enclosure (Q2)',\n", " 'lteWNB_q3': 'perimeter-weighted neighbours of enclosure (Q3)',\n", " 'lieWCe_q1': 'area-weighted ETCs of enclosure (Q1)',\n", " 'lieWCe_q2': 'area-weighted ETCs of enclosure (Q2)',\n", " 'lieWCe_q3': 'area-weighted ETCs of enclosure (Q3)',\n", "}" ] }, { "cell_type": "markdown", "id": "c3a7db2b-38c9-4de6-990f-04182814920b", "metadata": { "tags": [] }, "source": [ "## Dump ETCs to an archive repository as a partitioned parquet\n", "\n", "Create partitioned ETC-level datasets to be stored in an archival GitHub repository." ] }, { "cell_type": "code", "execution_count": 7, "id": "f1508bb1-c902-406c-a60d-e3feb6aabea0", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "
\n", "
\n", "

Client

\n", "

Client-8c657e0b-94bf-11ec-840d-115a56b33b25

\n", " \n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "
Connection method: Cluster objectCluster type: distributed.LocalCluster
\n", " Dashboard: http://127.0.0.1:8787/status\n", "
\n", "\n", " \n", "
\n", "

Cluster Info

\n", "
\n", "
\n", "
\n", "
\n", "

LocalCluster

\n", "

077353cd

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", "
\n", " Dashboard: http://127.0.0.1:8787/status\n", " \n", " Workers: 8\n", "
\n", " Total threads: 16\n", " \n", " Total memory: 125.54 GiB\n", "
Status: runningUsing processes: True
\n", "\n", "
\n", " \n", "

Scheduler Info

\n", " \n", "\n", "
\n", "
\n", "
\n", "
\n", "

Scheduler

\n", "

Scheduler-6c5cf5f9-8b46-49f3-92f3-a146dc26f205

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
\n", " Comm: tcp://127.0.0.1:41533\n", " \n", " Workers: 8\n", "
\n", " Dashboard: http://127.0.0.1:8787/status\n", " \n", " Total threads: 16\n", "
\n", " Started: Just now\n", " \n", " Total memory: 125.54 GiB\n", "
\n", "
\n", "
\n", "\n", "
\n", " \n", "

Workers

\n", " \n", "\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 0

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:45761\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:45937/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:46555\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-bi7gc9f7\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 1

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:43561\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:42629/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:37275\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-6nb7xvam\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 2

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:34809\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:42191/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:40163\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-6eu74kse\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 3

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:42791\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:46581/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:35041\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-2q93e4x0\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 4

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:45789\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:39645/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:32919\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-2p6xt4ln\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 5

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:34877\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:46445/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:44617\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-0mi2h2tv\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 6

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:46809\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:46797/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:38497\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-l5q90poh\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 7

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:44479\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:35383/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:43407\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-gfz82bz3\n", "
\n", "
\n", "
\n", "
\n", " \n", "\n", "
\n", "
\n", "\n", "
\n", "
\n", "
\n", "
\n", " \n", "\n", "
\n", "
" ], "text/plain": [ "" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from dask.distributed import Client, LocalCluster\n", "client = Client(LocalCluster(n_workers=8))\n", "client" ] }, { "cell_type": "code", "execution_count": 33, "id": "a5c0b263-36b6-462c-be2f-5c8da544290f", "metadata": {}, "outputs": [], "source": [ "include = ['hindex', 'tessellation', 'sdbAre', 'sdbPer', 'sdbCoA', 'ssbCCo', 'ssbCor', 'ssbSqu', 'ssbERI', 'ssbElo', \n", " 'ssbCCM', 'ssbCCD', 'stbOri', 'sdcLAL', 'sdcAre', 'sscCCo', 'sscERI', 'stcOri', \n", " 'sicCAR', 'stbCeA', 'mtbAli', 'mtbNDi', 'mtcWNe', 'mdcAre', 'ltcWRE', 'ltbIBD', \n", " 'sdsSPW', 'sdsSWD', 'sdsSPO', 'sdsLen', 'sssLin', 'ldsMSL', 'mtdDeg', 'lcdMes', \n", " 'linP3W', 'linP4W', 'linPDE', 'lcnClo', 'ldsCDL', 'xcnSCl', 'mtdMDi', 'lddNDe', \n", " 'linWID', 'stbSAl', 'sddAre', 'sdsAre', 'sisBpM', 'misCel', 'mdsAre', 'lisCel', \n", " 'ldsAre', 'ltcRea', 'ltcAre', 'ldeAre', 'ldePer', 'lseCCo', 'lseERI', 'lseCWA', \n", " 'lteOri', 'lteWNB', 'lieWCe'\n", " ]" ] }, { "cell_type": "code", "execution_count": 34, "id": "c466d951-cbd9-4553-b00d-7c3fe7a7780a", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Dask-GeoPandas GeoDataFrame Structure:
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
hindextessellationsdbAresdbPersdbCoAssbCCossbCorssbSqussbERIssbElossbCCMssbCCDstbOrisdcLALsdcAresscCCosscERIstcOrisicCARstbCeAmtbAlimtbNDimtcWNemdcAreltcWREltbIBDsdsSPWsdsSWDsdsSPOsdsLensssLinldsMSLmtdDeglcdMeslinP3WlinP4WlinPDElcnCloldsCDLxcnSClmtdMDilddNDelinWIDstbSAlsddAresdsAresisBpMmisCelmdsArelisCelldsAreltcRealtcAreldeAreldePerlseCColseERIlseCWAlteOrilteWNBlieWCe
npartitions=103
objectgeometryfloat64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64int64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64int64float64float64float64float64float64float64float64float64float64
.......................................................................................................................................................................................
..........................................................................................................................................................................................
.......................................................................................................................................................................................
.......................................................................................................................................................................................
\n", "
\n", "
Dask Name: read-parquet, 103 tasks
" ], "text/plain": [ "Dask GeoDataFrame Structure:\n", " hindex tessellation sdbAre sdbPer sdbCoA ssbCCo ssbCor ssbSqu ssbERI ssbElo ssbCCM ssbCCD stbOri sdcLAL sdcAre sscCCo sscERI stcOri sicCAR stbCeA mtbAli mtbNDi mtcWNe mdcAre ltcWRE ltbIBD sdsSPW sdsSWD sdsSPO sdsLen sssLin ldsMSL mtdDeg lcdMes linP3W linP4W linPDE lcnClo ldsCDL xcnSCl mtdMDi lddNDe linWID stbSAl sddAre sdsAre sisBpM misCel mdsAre lisCel ldsAre ltcRea ltcAre ldeAre ldePer lseCCo lseERI lseCWA lteOri lteWNB lieWCe\n", "npartitions=103 \n", " object geometry float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 int64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 int64 float64 float64 float64 float64 float64 float64 float64 float64 float64\n", " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", "... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", "Dask Name: read-parquet, 103 tasks" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "primary = dask_geopandas.read_parquet(\"../../urbangrammar_samba/spatial_signatures/morphometrics/cells/*\", columns=include)\n", "primary\n" ] }, { "cell_type": "code", "execution_count": 35, "id": "d479439e-f0a8-422c-80b0-24a30730e2c7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Dask DataFrame Structure:
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
sdbAre_q1sdbAre_q2sdbAre_q3sdbPer_q1sdbPer_q2sdbPer_q3sdbCoA_q1sdbCoA_q2sdbCoA_q3ssbCCo_q1ssbCCo_q2ssbCCo_q3ssbCor_q1ssbCor_q2ssbCor_q3ssbSqu_q1ssbSqu_q2ssbSqu_q3ssbERI_q1ssbERI_q2ssbERI_q3ssbElo_q1ssbElo_q2ssbElo_q3ssbCCM_q1ssbCCM_q2ssbCCM_q3ssbCCD_q1ssbCCD_q2ssbCCD_q3stbOri_q1stbOri_q2stbOri_q3sdcLAL_q1sdcLAL_q2sdcLAL_q3sdcAre_q1sdcAre_q2sdcAre_q3sscCCo_q1sscCCo_q2sscCCo_q3sscERI_q1sscERI_q2sscERI_q3stcOri_q1stcOri_q2stcOri_q3sicCAR_q1sicCAR_q2sicCAR_q3stbCeA_q1stbCeA_q2stbCeA_q3mtbAli_q1mtbAli_q2mtbAli_q3mtbNDi_q1mtbNDi_q2mtbNDi_q3mtcWNe_q1mtcWNe_q2mtcWNe_q3mdcAre_q1mdcAre_q2mdcAre_q3ltcWRE_q1ltcWRE_q2ltcWRE_q3ltbIBD_q1ltbIBD_q2ltbIBD_q3sdsSPW_q1sdsSPW_q2sdsSPW_q3sdsSWD_q1sdsSWD_q2sdsSWD_q3sdsSPO_q1sdsSPO_q2sdsSPO_q3sdsLen_q1sdsLen_q2sdsLen_q3sssLin_q1sssLin_q2sssLin_q3ldsMSL_q1ldsMSL_q2ldsMSL_q3mtdDeg_q1mtdDeg_q2mtdDeg_q3lcdMes_q1lcdMes_q2lcdMes_q3linP3W_q1linP3W_q2linP3W_q3linP4W_q1linP4W_q2linP4W_q3linPDE_q1linPDE_q2linPDE_q3lcnClo_q1lcnClo_q2lcnClo_q3ldsCDL_q1ldsCDL_q2ldsCDL_q3xcnSCl_q1xcnSCl_q2xcnSCl_q3mtdMDi_q1mtdMDi_q2mtdMDi_q3lddNDe_q1lddNDe_q2lddNDe_q3linWID_q1linWID_q2linWID_q3stbSAl_q1stbSAl_q2stbSAl_q3sddAre_q1sddAre_q2sddAre_q3sdsAre_q1sdsAre_q2sdsAre_q3sisBpM_q1sisBpM_q2sisBpM_q3misCel_q1misCel_q2misCel_q3mdsAre_q1mdsAre_q2mdsAre_q3lisCel_q1lisCel_q2lisCel_q3ldsAre_q1ldsAre_q2ldsAre_q3ltcRea_q1ltcRea_q2ltcRea_q3ltcAre_q1ltcAre_q2ltcAre_q3ldeAre_q1ldeAre_q2ldeAre_q3ldePer_q1ldePer_q2ldePer_q3lseCCo_q1lseCCo_q2lseCCo_q3lseERI_q1lseERI_q2lseERI_q3lseCWA_q1lseCWA_q2lseCWA_q3lteOri_q1lteOri_q2lteOri_q3lteWNB_q1lteWNB_q2lteWNB_q3lieWCe_q1lieWCe_q2lieWCe_q3
npartitions=103
float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64
...................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
......................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
...................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
...................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
\n", "
\n", "
Dask Name: read-parquet, 103 tasks
" ], "text/plain": [ "Dask DataFrame Structure:\n", " sdbAre_q1 sdbAre_q2 sdbAre_q3 sdbPer_q1 sdbPer_q2 sdbPer_q3 sdbCoA_q1 sdbCoA_q2 sdbCoA_q3 ssbCCo_q1 ssbCCo_q2 ssbCCo_q3 ssbCor_q1 ssbCor_q2 ssbCor_q3 ssbSqu_q1 ssbSqu_q2 ssbSqu_q3 ssbERI_q1 ssbERI_q2 ssbERI_q3 ssbElo_q1 ssbElo_q2 ssbElo_q3 ssbCCM_q1 ssbCCM_q2 ssbCCM_q3 ssbCCD_q1 ssbCCD_q2 ssbCCD_q3 stbOri_q1 stbOri_q2 stbOri_q3 sdcLAL_q1 sdcLAL_q2 sdcLAL_q3 sdcAre_q1 sdcAre_q2 sdcAre_q3 sscCCo_q1 sscCCo_q2 sscCCo_q3 sscERI_q1 sscERI_q2 sscERI_q3 stcOri_q1 stcOri_q2 stcOri_q3 sicCAR_q1 sicCAR_q2 sicCAR_q3 stbCeA_q1 stbCeA_q2 stbCeA_q3 mtbAli_q1 mtbAli_q2 mtbAli_q3 mtbNDi_q1 mtbNDi_q2 mtbNDi_q3 mtcWNe_q1 mtcWNe_q2 mtcWNe_q3 mdcAre_q1 mdcAre_q2 mdcAre_q3 ltcWRE_q1 ltcWRE_q2 ltcWRE_q3 ltbIBD_q1 ltbIBD_q2 ltbIBD_q3 sdsSPW_q1 sdsSPW_q2 sdsSPW_q3 sdsSWD_q1 sdsSWD_q2 sdsSWD_q3 sdsSPO_q1 sdsSPO_q2 sdsSPO_q3 sdsLen_q1 sdsLen_q2 sdsLen_q3 sssLin_q1 sssLin_q2 sssLin_q3 ldsMSL_q1 ldsMSL_q2 ldsMSL_q3 mtdDeg_q1 mtdDeg_q2 mtdDeg_q3 lcdMes_q1 lcdMes_q2 lcdMes_q3 linP3W_q1 linP3W_q2 linP3W_q3 linP4W_q1 linP4W_q2 linP4W_q3 linPDE_q1 linPDE_q2 linPDE_q3 lcnClo_q1 lcnClo_q2 lcnClo_q3 ldsCDL_q1 ldsCDL_q2 ldsCDL_q3 xcnSCl_q1 xcnSCl_q2 xcnSCl_q3 mtdMDi_q1 mtdMDi_q2 mtdMDi_q3 lddNDe_q1 lddNDe_q2 lddNDe_q3 linWID_q1 linWID_q2 linWID_q3 stbSAl_q1 stbSAl_q2 stbSAl_q3 sddAre_q1 sddAre_q2 sddAre_q3 sdsAre_q1 sdsAre_q2 sdsAre_q3 sisBpM_q1 sisBpM_q2 sisBpM_q3 misCel_q1 misCel_q2 misCel_q3 mdsAre_q1 mdsAre_q2 mdsAre_q3 lisCel_q1 lisCel_q2 lisCel_q3 ldsAre_q1 ldsAre_q2 ldsAre_q3 ltcRea_q1 ltcRea_q2 ltcRea_q3 ltcAre_q1 ltcAre_q2 ltcAre_q3 ldeAre_q1 ldeAre_q2 ldeAre_q3 ldePer_q1 ldePer_q2 ldePer_q3 lseCCo_q1 lseCCo_q2 lseCCo_q3 lseERI_q1 lseERI_q2 lseERI_q3 lseCWA_q1 lseCWA_q2 lseCWA_q3 lteOri_q1 lteOri_q2 lteOri_q3 lteWNB_q1 lteWNB_q2 lteWNB_q3 lieWCe_q1 lieWCe_q2 lieWCe_q3\n", "npartitions=103 \n", " float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64\n", " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", "... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", "Dask Name: read-parquet, 103 tasks" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "conv = dask.dataframe.read_parquet(f\"../../urbangrammar_samba/spatial_signatures/morphometrics/convolutions/*\")\n", "conv" ] }, { "cell_type": "code", "execution_count": 5, "id": "4b405a6d-0b5c-472e-84b4-f529c9a6a5e7", "metadata": {}, "outputs": [], "source": [ "renamer = {**{k:key[v] for k, v in coded.items()}, **key_for_all}" ] }, { "cell_type": "code", "execution_count": null, "id": "c7e2362b-8da4-457b-9bcc-068c4ed4be02", "metadata": { "tags": [] }, "outputs": [], "source": [ "dask.dataframe.multi.concat([primary, conv], axis=1).rename(columns=renamer).repartition(npartitions=1000).to_parquet(\"../../signatures_gb/form\")" ] }, { "cell_type": "code", "execution_count": 16, "id": "de67ed3b-45cb-4aa9-9104-0c2de60e15e7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Dask DataFrame Structure:
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
hindexpopulationnight_lightsA, B, D, E. Agriculture, energy and waterC. ManufacturingF. ConstructionG, I. Distribution, hotels and restaurantsH, J. Transport and communicationK, L, M, N. Financial, real estate, professional and administrative activitiesO,P,Q. Public administration, education and healthR, S, T, U. OtherCode_18_124Code_18_211Code_18_121Code_18_421Code_18_522Code_18_142Code_18_141Code_18_112Code_18_231Code_18_311Code_18_131Code_18_123Code_18_122Code_18_512Code_18_243Code_18_313Code_18_412Code_18_321Code_18_322Code_18_324Code_18_111Code_18_423Code_18_523Code_18_133Code_18_334Code_18_132Code_18_242Code_18_411Code_18_511Code_18_312Code_18_332Code_18_521Code_18_331Code_18_244Code_18_333Code_18_222meansupermarkets_nearestsupermarkets_countslisted_nearestlisted_countsfhrs_nearestfhrs_countsculture_nearestculture_countsnearest_waternearest_retail_centre
npartitions=103
objectfloat64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64int64int64int64int64int64int64int64int64int64int64int64int64int64float64float64int64float64int64float64int64float64int64float64float64
..............................................................................................................................................................................
.................................................................................................................................................................................
..............................................................................................................................................................................
..............................................................................................................................................................................
\n", "
\n", "
Dask Name: reset_index, 206 tasks
" ], "text/plain": [ "Dask DataFrame Structure:\n", " hindex population night_lights A, B, D, E. Agriculture, energy and water C. Manufacturing F. Construction G, I. Distribution, hotels and restaurants H, J. Transport and communication K, L, M, N. Financial, real estate, professional and administrative activities O,P,Q. Public administration, education and health R, S, T, U. Other Code_18_124 Code_18_211 Code_18_121 Code_18_421 Code_18_522 Code_18_142 Code_18_141 Code_18_112 Code_18_231 Code_18_311 Code_18_131 Code_18_123 Code_18_122 Code_18_512 Code_18_243 Code_18_313 Code_18_412 Code_18_321 Code_18_322 Code_18_324 Code_18_111 Code_18_423 Code_18_523 Code_18_133 Code_18_334 Code_18_132 Code_18_242 Code_18_411 Code_18_511 Code_18_312 Code_18_332 Code_18_521 Code_18_331 Code_18_244 Code_18_333 Code_18_222 mean supermarkets_nearest supermarkets_counts listed_nearest listed_counts fhrs_nearest fhrs_counts culture_nearest culture_counts nearest_water nearest_retail_centre\n", "npartitions=103 \n", " object float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 float64 float64 int64 float64 int64 float64 int64 float64 int64 float64 float64\n", " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", "... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", "Dask Name: reset_index, 206 tasks" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "function = dask.dataframe.read_parquet(\"../../urbangrammar_samba/spatial_signatures/functional/combined_raw\").reset_index(drop=True)\n", "function" ] }, { "cell_type": "code", "execution_count": 17, "id": "310e67cd-ff76-4f66-aeb0-08b3ab7f7238", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
Dask DataFrame Structure:
\n", "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
population_q1population_q2population_q3night_lights_q1night_lights_q2night_lights_q3A, B, D, E. Agriculture, energy and water_q1A, B, D, E. Agriculture, energy and water_q2A, B, D, E. Agriculture, energy and water_q3C. Manufacturing_q1C. Manufacturing_q2C. Manufacturing_q3F. Construction_q1F. Construction_q2F. Construction_q3G, I. Distribution, hotels and restaurants_q1G, I. Distribution, hotels and restaurants_q2G, I. Distribution, hotels and restaurants_q3H, J. Transport and communication_q1H, J. Transport and communication_q2H, J. Transport and communication_q3K, L, M, N. Financial, real estate, professional and administrative activities_q1K, L, M, N. Financial, real estate, professional and administrative activities_q2K, L, M, N. Financial, real estate, professional and administrative activities_q3O,P,Q. Public administration, education and health_q1O,P,Q. Public administration, education and health_q2O,P,Q. Public administration, education and health_q3R, S, T, U. Other_q1R, S, T, U. Other_q2R, S, T, U. Other_q3Code_18_124_q1Code_18_124_q2Code_18_124_q3Code_18_211_q1Code_18_211_q2Code_18_211_q3Code_18_121_q1Code_18_121_q2Code_18_121_q3Code_18_421_q1Code_18_421_q2Code_18_421_q3Code_18_522_q1Code_18_522_q2Code_18_522_q3Code_18_142_q1Code_18_142_q2Code_18_142_q3Code_18_141_q1Code_18_141_q2Code_18_141_q3Code_18_112_q1Code_18_112_q2Code_18_112_q3Code_18_231_q1Code_18_231_q2Code_18_231_q3Code_18_311_q1Code_18_311_q2Code_18_311_q3Code_18_131_q1Code_18_131_q2Code_18_131_q3Code_18_123_q1Code_18_123_q2Code_18_123_q3Code_18_122_q1Code_18_122_q2Code_18_122_q3Code_18_512_q1Code_18_512_q2Code_18_512_q3Code_18_243_q1Code_18_243_q2Code_18_243_q3Code_18_313_q1Code_18_313_q2Code_18_313_q3Code_18_412_q1Code_18_412_q2Code_18_412_q3Code_18_321_q1Code_18_321_q2Code_18_321_q3Code_18_322_q1Code_18_322_q2Code_18_322_q3Code_18_324_q1Code_18_324_q2Code_18_324_q3Code_18_111_q1Code_18_111_q2Code_18_111_q3Code_18_423_q1Code_18_423_q2Code_18_423_q3Code_18_523_q1Code_18_523_q2Code_18_523_q3mean_q1mean_q2mean_q3Code_18_312_q1Code_18_312_q2Code_18_312_q3Code_18_133_q1Code_18_133_q2Code_18_133_q3Code_18_333_q1Code_18_333_q2Code_18_333_q3Code_18_332_q1Code_18_332_q2Code_18_332_q3Code_18_411_q1Code_18_411_q2Code_18_411_q3Code_18_132_q1Code_18_331_q2Code_18_222_q1Code_18_511_q3Code_18_242_q1Code_18_511_q2Code_18_242_q3Code_18_331_q1Code_18_334_q2Code_18_511_q1Code_18_334_q1Code_18_222_q3Code_18_242_q2Code_18_244_q3Code_18_521_q2Code_18_334_q3Code_18_244_q1Code_18_244_q2Code_18_331_q3Code_18_132_q2Code_18_132_q3Code_18_521_q1Code_18_222_q2Code_18_521_q3
npartitions=103
float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64float64int64int64int64int64int64int64int64int64int64int64int64int64int64int64int64int64int64int64int64int64int64int64int64int64
.......................................................................................................................................................................................................................................................................................................................................................................................................................................
..........................................................................................................................................................................................................................................................................................................................................................................................................................................
.......................................................................................................................................................................................................................................................................................................................................................................................................................................
.......................................................................................................................................................................................................................................................................................................................................................................................................................................
\n", "
\n", "
Dask Name: reset_index, 310 tasks
" ], "text/plain": [ "Dask DataFrame Structure:\n", " population_q1 population_q2 population_q3 night_lights_q1 night_lights_q2 night_lights_q3 A, B, D, E. Agriculture, energy and water_q1 A, B, D, E. Agriculture, energy and water_q2 A, B, D, E. Agriculture, energy and water_q3 C. Manufacturing_q1 C. Manufacturing_q2 C. Manufacturing_q3 F. Construction_q1 F. Construction_q2 F. Construction_q3 G, I. Distribution, hotels and restaurants_q1 G, I. Distribution, hotels and restaurants_q2 G, I. Distribution, hotels and restaurants_q3 H, J. Transport and communication_q1 H, J. Transport and communication_q2 H, J. Transport and communication_q3 K, L, M, N. Financial, real estate, professional and administrative activities_q1 K, L, M, N. Financial, real estate, professional and administrative activities_q2 K, L, M, N. Financial, real estate, professional and administrative activities_q3 O,P,Q. Public administration, education and health_q1 O,P,Q. Public administration, education and health_q2 O,P,Q. Public administration, education and health_q3 R, S, T, U. Other_q1 R, S, T, U. Other_q2 R, S, T, U. Other_q3 Code_18_124_q1 Code_18_124_q2 Code_18_124_q3 Code_18_211_q1 Code_18_211_q2 Code_18_211_q3 Code_18_121_q1 Code_18_121_q2 Code_18_121_q3 Code_18_421_q1 Code_18_421_q2 Code_18_421_q3 Code_18_522_q1 Code_18_522_q2 Code_18_522_q3 Code_18_142_q1 Code_18_142_q2 Code_18_142_q3 Code_18_141_q1 Code_18_141_q2 Code_18_141_q3 Code_18_112_q1 Code_18_112_q2 Code_18_112_q3 Code_18_231_q1 Code_18_231_q2 Code_18_231_q3 Code_18_311_q1 Code_18_311_q2 Code_18_311_q3 Code_18_131_q1 Code_18_131_q2 Code_18_131_q3 Code_18_123_q1 Code_18_123_q2 Code_18_123_q3 Code_18_122_q1 Code_18_122_q2 Code_18_122_q3 Code_18_512_q1 Code_18_512_q2 Code_18_512_q3 Code_18_243_q1 Code_18_243_q2 Code_18_243_q3 Code_18_313_q1 Code_18_313_q2 Code_18_313_q3 Code_18_412_q1 Code_18_412_q2 Code_18_412_q3 Code_18_321_q1 Code_18_321_q2 Code_18_321_q3 Code_18_322_q1 Code_18_322_q2 Code_18_322_q3 Code_18_324_q1 Code_18_324_q2 Code_18_324_q3 Code_18_111_q1 Code_18_111_q2 Code_18_111_q3 Code_18_423_q1 Code_18_423_q2 Code_18_423_q3 Code_18_523_q1 Code_18_523_q2 Code_18_523_q3 mean_q1 mean_q2 mean_q3 Code_18_312_q1 Code_18_312_q2 Code_18_312_q3 Code_18_133_q1 Code_18_133_q2 Code_18_133_q3 Code_18_333_q1 Code_18_333_q2 Code_18_333_q3 Code_18_332_q1 Code_18_332_q2 Code_18_332_q3 Code_18_411_q1 Code_18_411_q2 Code_18_411_q3 Code_18_132_q1 Code_18_331_q2 Code_18_222_q1 Code_18_511_q3 Code_18_242_q1 Code_18_511_q2 Code_18_242_q3 Code_18_331_q1 Code_18_334_q2 Code_18_511_q1 Code_18_334_q1 Code_18_222_q3 Code_18_242_q2 Code_18_244_q3 Code_18_521_q2 Code_18_334_q3 Code_18_244_q1 Code_18_244_q2 Code_18_331_q3 Code_18_132_q2 Code_18_132_q3 Code_18_521_q1 Code_18_222_q2 Code_18_521_q3\n", "npartitions=103 \n", " float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 float64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64 int64\n", " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", "... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", "Dask Name: reset_index, 310 tasks" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fn_conv = dask.dataframe.read_parquet(\"../../urbangrammar_samba/spatial_signatures/functional/functional/*\").drop(columns=[\"supermarkets_nearest\",\"supermarkets_counts\",\"listed_nearest\", \"listed_counts\", \"fhrs_nearest\", \"fhrs_counts\", \"culture_nearest\", \"culture_counts\", \"nearest_water\",\"nearest_retail_centre\", \"keep_q1\", \"keep_q2\", \"keep_q3\"]).reset_index(drop=True)\n", "fn_conv" ] }, { "cell_type": "code", "execution_count": 25, "id": "880ff049-428a-4c28-9b05-4d2593ee12ad", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/conda/lib/python3.9/site-packages/dask/dataframe/multi.py:1222: UserWarning: Concatenating dataframes with unknown divisions.\n", "We're assuming that the indices of each dataframes are \n", " aligned. This assumption is not generally safe.\n", " warnings.warn(\n" ] } ], "source": [ "fn = dask.dataframe.multi.concat([function, fn_conv], axis=1).rename(columns=renamer)" ] }, { "cell_type": "code", "execution_count": 19, "id": "373d4cdb-b31b-478a-9dba-00f13897d8ff", "metadata": {}, "outputs": [], "source": [ "import pyarrow as pa" ] }, { "cell_type": "code", "execution_count": 26, "id": "ac1e4182-c265-4e98-88e6-1231d5427f49", "metadata": {}, "outputs": [], "source": [ "schema = {k: pa.float64() for k in fn.columns}\n", "schema[\"hindex\"] = pa.string()" ] }, { "cell_type": "code", "execution_count": 32, "id": "a93ba7da-66b0-4a98-8f58-5a3755402a5b", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[None]" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fn.repartition(npartitions=1000).to_parquet(\"../../signatures_gb/function\", schema=schema)" ] }, { "cell_type": "code", "execution_count": 57, "id": "d86ab4b5-c7f1-41a3-9036-94c66c651a38", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "
\n", "
\n", "

Client

\n", "

Client-5d4fe926-94ba-11ec-827f-6774297aa622

\n", " \n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "
Connection method: Cluster objectCluster type: distributed.LocalCluster
\n", " Dashboard: http://127.0.0.1:8787/status\n", "
\n", "\n", " \n", "
\n", "

Cluster Info

\n", "
\n", "
\n", "
\n", "
\n", "

LocalCluster

\n", "

25452591

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", "\n", " \n", "
\n", " Dashboard: http://127.0.0.1:8787/status\n", " \n", " Workers: 8\n", "
\n", " Total threads: 16\n", " \n", " Total memory: 125.54 GiB\n", "
Status: runningUsing processes: True
\n", "\n", "
\n", " \n", "

Scheduler Info

\n", " \n", "\n", "
\n", "
\n", "
\n", "
\n", "

Scheduler

\n", "

Scheduler-b7325f1b-c6cd-4c23-9a2c-b642314528a7

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
\n", " Comm: tcp://127.0.0.1:39497\n", " \n", " Workers: 8\n", "
\n", " Dashboard: http://127.0.0.1:8787/status\n", " \n", " Total threads: 16\n", "
\n", " Started: 26 minutes ago\n", " \n", " Total memory: 125.54 GiB\n", "
\n", "
\n", "
\n", "\n", "
\n", " \n", "

Workers

\n", " \n", "\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 0

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:38377\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:40007/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:44439\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-eowefyf5\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 1

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:44561\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:45835/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:46445\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-wcnccrg_\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 2

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:44141\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:45401/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:42789\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-d_b1cznu\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 3

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:46367\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:38675/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:33619\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-ix070j9r\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 4

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:45547\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:40375/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:39231\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-ltgjdbus\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 5

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:39895\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:46737/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:43801\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-9s0njlc1\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 6

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:37101\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:33435/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:38807\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-r6jib2lo\n", "
\n", "
\n", "
\n", "
\n", " \n", "
\n", "
\n", "
\n", "
\n", " \n", "

Worker: 7

\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", "\n", " \n", "\n", "
\n", " Comm: tcp://127.0.0.1:36381\n", " \n", " Total threads: 2\n", "
\n", " Dashboard: http://127.0.0.1:36777/status\n", " \n", " Memory: 15.69 GiB\n", "
\n", " Nanny: tcp://127.0.0.1:35769\n", "
\n", " Local directory: /home/jovyan/work/spatial_signatures/data_product/dask-worker-space/worker-dxhuphng\n", "
\n", "
\n", "
\n", "
\n", " \n", "\n", "
\n", "
\n", "\n", "
\n", "
\n", "
\n", "
\n", " \n", "\n", "
\n", "
" ], "text/plain": [ "" ] }, "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ "client.restart()" ] }, { "cell_type": "code", "execution_count": 28, "id": "980a5b4c-ec2d-42b1-a804-bcaa66f6b5e4", "metadata": {}, "outputs": [], "source": [ "joined = dask.dataframe.read_parquet(\"../../urbangrammar_samba/spatial_signatures/signatures/hindex_to_type\", columns=[\"hindex\", \"type\"]).rename(columns={\"type\": \"signature_type\"})" ] }, { "cell_type": "code", "execution_count": 31, "id": "975860ed-b809-4cf2-b254-4172a84e6f1d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[None]" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "joined.repartition(npartitions=1000).to_parquet(\"../../signatures_gb/signature_type\")" ] }, { "cell_type": "markdown", "id": "b2084bbc-ccce-41d0-9ff8-c692f5c912cf", "metadata": {}, "source": [ "## Tables of characters\n", "\n", "Create tables of characters to be used in the paper." ] }, { "cell_type": "code", "execution_count": 2, "id": "471649f8-6307-4eae-ace4-226eae4dd392", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
contextcategoryreferenceid
0buildingdimension[@hallowell2013]sdbAre
1buildingdimension[@vanderhaegen2017]sdbPer
2buildingdimension[@schirmer2015]sdbCoA
3buildingshape[@dibble2017]ssbCCo
4buildingshape[@steiniger2008]ssbCor
\n", "
" ], "text/plain": [ " context category reference id\n", "0 building dimension [@hallowell2013] sdbAre\n", "1 building dimension [@vanderhaegen2017] sdbPer\n", "2 building dimension [@schirmer2015] sdbCoA\n", "3 building shape [@dibble2017] ssbCCo\n", "4 building shape [@steiniger2008] ssbCor" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "morph = pandas.read_csv(\"morphometric_chars.csv\")\n", "morph.head()" ] }, { "cell_type": "code", "execution_count": 3, "id": "9c97b4e6-3753-47f3-89e3-f1077c05aa98", "metadata": {}, "outputs": [], "source": [ "morph[\"reference\"] = morph[\"reference\"].fillna(\"[@fleischmann2021]\").apply(lambda x: x[2:-1])" ] }, { "cell_type": "code", "execution_count": 4, "id": "714a3693-58c1-4d79-aa37-f39adeb1ec43", "metadata": {}, "outputs": [], "source": [ "morph[\"reference\"] = \"\\\\cite{\" + morph[\"reference\"] + \"}\"" ] }, { "cell_type": "code", "execution_count": 9, "id": "5ed4826d-5812-4f38-88c9-0e55cef6cdd7", "metadata": {}, "outputs": [], "source": [ "morph[\"character\"] = morph[\"id\"].map(renamer)" ] }, { "cell_type": "code", "execution_count": 10, "id": "e291e573-0448-40b0-9b47-b4b581eb8f3f", "metadata": {}, "outputs": [], "source": [ "morph = morph[[\"character\", \"category\", \"reference\"]]" ] }, { "cell_type": "code", "execution_count": 12, "id": "2edde8ab-6796-40a4-a9d8-a7358371385f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\\begin{longtable}{lll}\n", "\\toprule\n", " character & category & reference \\\\\n", "\\midrule\n", "\\endfirsthead\n", "\n", "\\toprule\n", " character & category & reference \\\\\n", "\\midrule\n", "\\endhead\n", "\\midrule\n", "\\multicolumn{3}{r}{{Continued on next page}} \\\\\n", "\\midrule\n", "\\endfoot\n", "\n", "\\bottomrule\n", "\\endlastfoot\n", " area of building & dimension & \\cite{hallowell2013} \\\\\n", " perimeter of building & dimension & \\cite{vanderhaegen2017} \\\\\n", " courtyard area of building & dimension & \\cite{schirmer2015} \\\\\n", " circular compactness of building & shape & \\cite{dibble2017} \\\\\n", " corners of building & shape & \\cite{steiniger2008} \\\\\n", " squareness of building & shape & \\cite{steiniger2008} \\\\\n", " equivalent rectangular index of building & shape & \\cite{basaraner2017} \\\\\n", " elongation of building & shape & \\cite{steiniger2008} \\\\\n", " centroid - corner distance deviation of building & shape & \\cite{fleischmann2021} \\\\\n", " centroid - corner mean distance of building & dimension & \\cite{schirmer2015} \\\\\n", " orientation of building & distribution & \\cite{schirmer2015} \\\\\n", " street alignment of building & distribution & \\cite{schirmer2015} \\\\\n", " cell alignment of building & distribution & \\cite{fleischmann2021} \\\\\n", " longest axis length of ETC & dimension & \\cite{fleischmann2021} \\\\\n", " area of ETC & dimension & \\cite{hamaina2012a} \\\\\n", " circular compactness of ETC & shape & \\cite{fleischmann2021} \\\\\n", " equivalent rectangular index of ETC & shape & \\cite{fleischmann2021} \\\\\n", " orientation of ETC & distribution & \\cite{fleischmann2021} \\\\\n", " covered area ratio of ETC & intensity & \\cite{hamaina2013} \\\\\n", " length of street segment & dimension & \\cite{gil2012} \\\\\n", " width of street profile & dimension & \\cite{araldi2019} \\\\\n", " openness of street profile & distribution & \\cite{araldi2019} \\\\\n", " width deviation of street profile & diversity & \\cite{araldi2019} \\\\\n", " linearity of street segment & shape & \\cite{araldi2019} \\\\\n", " area covered by edge-attached ETCs & dimension & \\cite{fleischmann2021} \\\\\n", " buildings per meter of street segment & intensity & \\cite{fleischmann2021} \\\\\n", " area covered by node-attached ETCs & dimension & \\cite{fleischmann2021} \\\\\n", " alignment of neighbouring buildings & distribution & \\cite{hijazi2016} \\\\\n", " mean distance between neighbouring buildings & distribution & \\cite{hijazi2016} \\\\\n", " perimeter-weighted neighbours of ETC & distribution & \\cite{fleischmann2021} \\\\\n", " area covered by neighbouring cells & dimension & \\cite{fleischmann2021} \\\\\n", " reached ETCs by neighbouring segments & intensity & \\cite{fleischmann2021} \\\\\n", " reached area by neighbouring segments & dimension & \\cite{fleischmann2021} \\\\\n", " node degree of junction & distribution & \\cite{boeing2018} \\\\\n", "mean distance to neighbouring nodes of street n... & dimension & \\cite{fleischmann2021} \\\\\n", " mean inter-building distance & distribution & \\cite{caruso2017} \\\\\n", " weighted reached enclosures of ETC & intensity & \\cite{fleischmann2021} \\\\\n", " reached ETCs by tessellation contiguity & intensity & \\cite{fleischmann2021} \\\\\n", " reached area by tessellation contiguity & dimension & \\cite{fleischmann2021} \\\\\n", " area of enclosure & dimension & \\cite{dibble2017} \\\\\n", " perimeter of enclosure & dimension & \\cite{gil2012} \\\\\n", " circular compactness of enclosure & shape & \\cite{schirmer2015} \\\\\n", " equivalent rectangular index of enclosure & shape & \\cite{basaraner2017} \\\\\n", " compactness-weighted axis of enclosure & shape & \\cite{feliciotti2018} \\\\\n", " orientation of enclosure & distribution & \\cite{gil2012} \\\\\n", " perimeter-weighted neighbours of enclosure & distribution & \\cite{fleischmann2021} \\\\\n", " area-weighted ETCs of enclosure & intensity & \\cite{fleischmann2021} \\\\\n", " local meshedness of street network & connectivity & \\cite{feliciotti2018} \\\\\n", " mean segment length within 3 steps & dimension & \\cite{fleischmann2021} \\\\\n", " local cul-de-sac length of street network & dimension & \\cite{fleischmann2021} \\\\\n", " reached area by local street network & dimension & \\cite{fleischmann2021} \\\\\n", " reached ETCs by local street network & intensity & \\cite{fleischmann2021} \\\\\n", " local node density of street network & intensity & \\cite{fleischmann2021} \\\\\n", " local proportion of cul-de-sacs of street network & connectivity & \\cite{lowry2014} \\\\\n", "local proportion of 3-way intersections of stre... & connectivity & \\cite{boeing2018} \\\\\n", "local proportion of 4-way intersections of stre... & connectivity & \\cite{boeing2018} \\\\\n", "local degree weighted node density of street ne... & intensity & \\cite{dibble2017} \\\\\n", " local closeness of street network & connectivity & \\cite{porta2006} \\\\\n", " square clustering of street network & connectivity & \\cite{fleischmann2021} \\\\\n", "\\end{longtable}\n", "\n" ] } ], "source": [ "print(morph.to_latex(escape=False, index=False, longtable=True))" ] }, { "cell_type": "code", "execution_count": 13, "id": "5a1404b4-25f5-4172-bf98-0e24f9882a7d", "metadata": {}, "outputs": [], "source": [ "func = pandas.Series({'population': 'Population',\n", " 'night_lights': 'Night lights',\n", " 'A, B, D, E. Agriculture, energy and water': 'Workplace population [Agriculture, energy and water]',\n", " 'C. Manufacturing': 'Workplace population [Manufacturing]',\n", " 'F. Construction': 'Workplace population [Construction]',\n", " 'G, I. Distribution, hotels and restaurants': 'Workplace population [Distribution, hotels and restaurants]',\n", " 'H, J. Transport and communication': 'Workplace population [Transport and communication]',\n", " 'K, L, M, N. Financial, real estate, professional and administrative activities': 'Workplace population [Financial, real estate, professional and administrative activities]',\n", " 'O,P,Q. Public administration, education and health': 'Workplace population [Public administration, education and health]',\n", " 'R, S, T, U. Other': 'Workplace population [Other]',\n", " 'Code_18_124': 'Land cover [Airports]',\n", " 'Code_18_211': 'Land cover [Non-irrigated arable land]',\n", " 'Code_18_121': 'Land cover [Industrial or commercial units]',\n", " 'Code_18_421': 'Land cover [Salt marshes]',\n", " 'Code_18_522': 'Land cover [Estuaries]',\n", " 'Code_18_142': 'Land cover [Sport and leisure facilities]',\n", " 'Code_18_141': 'Land cover [Green urban areas]',\n", " 'Code_18_112': 'Land cover [Discontinuous urban fabric]',\n", " 'Code_18_231': 'Land cover [Pastures]',\n", " 'Code_18_311': 'Land cover [Broad-leaved forest]',\n", " 'Code_18_131': 'Land cover [Mineral extraction sites]',\n", " 'Code_18_123': 'Land cover [Port areas]',\n", " 'Code_18_122': 'Land cover [Road and rail networks and associated land]',\n", " 'Code_18_512': 'Land cover [Water bodies]',\n", " 'Code_18_243': 'Land cover [Land principally occupied by agriculture, with significant areas of natural vegetation]',\n", " 'Code_18_313': 'Land cover [Mixed forest]',\n", " 'Code_18_412': 'Land cover [Peat bogs]',\n", " 'Code_18_321': 'Land cover [Natural grasslands]',\n", " 'Code_18_322': 'Land cover [Moors and heathland]',\n", " 'Code_18_324': 'Land cover [Transitional woodland-shrub]',\n", " 'Code_18_111': 'Land cover [Continuous urban fabric]',\n", " 'Code_18_423': 'Land cover [Intertidal flats]',\n", " 'Code_18_523': 'Land cover [Sea and ocean]',\n", " 'Code_18_312': 'Land cover [Coniferous forest]',\n", " 'Code_18_133': 'Land cover [Construction sites]',\n", " 'Code_18_333': 'Land cover [Sparsely vegetated areas]',\n", " 'Code_18_332': 'Land cover [Bare rocks]',\n", " 'Code_18_411': 'Land cover [Inland marshes]',\n", " 'Code_18_132': 'Land cover [Dump sites]',\n", " 'Code_18_222': 'Land cover [Fruit trees and berry plantations]',\n", " 'Code_18_242': 'Land cover [Complex cultivation patterns]',\n", " 'Code_18_331': 'Land cover [Beaches, dunes, sands]',\n", " 'Code_18_511': 'Land cover [Water courses]',\n", " 'Code_18_334': 'Land cover [Burnt areas]',\n", " 'Code_18_244': 'Land cover [Agro-forestry areas]',\n", " 'Code_18_521': 'Land cover [Coastal lagoons]',\n", " 'mean': 'NDVI',\n", " 'supermarkets_nearest': 'Supermarkets [distance to nearest]',\n", " 'supermarkets_counts': 'Supermarkets [counts within 1200m]',\n", " 'listed_nearest': 'Listed buildings [distance to nearest]',\n", " 'listed_counts': 'Listed buildings [counts within 1200m]',\n", " 'fhrs_nearest': 'FHRS points [distance to nearest]',\n", " 'fhrs_counts': 'FHRS points [counts within 1200m]',\n", " 'culture_nearest': 'Cultural venues [distance to nearest]',\n", " 'culture_counts': 'Cultural venues [counts within 1200m]',\n", " 'nearest_water': 'Water bodies [distance to nearest]',\n", " 'nearest_retail_centre': 'Retail centres [distance to nearest]',}, name=\"character\").reset_index(drop=True)" ] }, { "cell_type": "code", "execution_count": 14, "id": "1bacbd51-7d5a-4142-8170-3a8db31c1837", "metadata": {}, "outputs": [], "source": [ "func = func.to_frame()" ] }, { "cell_type": "code", "execution_count": 15, "id": "e5410201-3a92-497b-b268-8d141b6fd3fa", "metadata": {}, "outputs": [], "source": [ "or_func = pandas.read_csv(\"func.csv\", delimiter=\";\")" ] }, { "cell_type": "code", "execution_count": 16, "id": "58ad2ed6-ff22-4258-9857-38e188f81ddc", "metadata": {}, "outputs": [], "source": [ "or_func = or_func.drop(columns=\"Unnamed: 4\")" ] }, { "cell_type": "code", "execution_count": 17, "id": "8115a92e-3971-4a94-a29b-094a9919cdef", "metadata": {}, "outputs": [], "source": [ "rows = [0, 4, 6, 6, 6, 6, 6, 6, 6] + ([8] * 37) + [9, 1, 1, 3, 3, 5, 5, 7, 7, 2, 10]" ] }, { "cell_type": "code", "execution_count": 18, "id": "8876bcad-cdfd-4f36-b9e8-15f669ad9a30", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(57, 4)" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "or_func.iloc[rows].shape" ] }, { "cell_type": "code", "execution_count": 19, "id": "2919ef69-14dc-407b-9361-3cd8edac1ac7", "metadata": {}, "outputs": [], "source": [ "functional = pandas.concat([func, or_func.iloc[rows].reset_index(drop=True)], axis=1)" ] }, { "cell_type": "code", "execution_count": 20, "id": "dd6cb9f7-cae0-49e9-8e69-af02bc22d2dc", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\\begin{longtable}{lllll}\n", "\\toprule\n", " character & data & source & input geometry & transfer method \\\\\n", "\\midrule\n", "\\endfirsthead\n", "\n", "\\toprule\n", " character & data & source & input geometry & transfer method \\\\\n", "\\midrule\n", "\\endhead\n", "\\midrule\n", "\\multicolumn{5}{r}{{Continued on next page}} \\\\\n", "\\midrule\n", "\\endfoot\n", "\n", "\\bottomrule\n", "\\endlastfoot\n", " Population & Population estimates & ONS Census Output Area population estimates, Statistics.gov.scot & Vector (output area polygon) & Building-based dasymetric areal interpolation \\\\\n", " Night lights & Night Lights & VIIRS DNB Nighttime Lights & Raster (500m) & Zonal statistics \\\\\n", " Workplace population [Agriculture, energy and water] & Workplace population & ONS Census Workplace population, Scotland's census Workplace population & Vector (output area polygon) & Building-based dasymetric areal interpolation \\\\\n", " Workplace population [Manufacturing] & Workplace population & ONS Census Workplace population, Scotland's census Workplace population & Vector (output area polygon) & Building-based dasymetric areal interpolation \\\\\n", " Workplace population [Construction] & Workplace population & ONS Census Workplace population, Scotland's census Workplace population & Vector (output area polygon) & Building-based dasymetric areal interpolation \\\\\n", " Workplace population [Distribution, hotels and restaurants] & Workplace population & ONS Census Workplace population, Scotland's census Workplace population & Vector (output area polygon) & Building-based dasymetric areal interpolation \\\\\n", " Workplace population [Transport and communication] & Workplace population & ONS Census Workplace population, Scotland's census Workplace population & Vector (output area polygon) & Building-based dasymetric areal interpolation \\\\\n", " Workplace population [Financial, real estate, professional and administrative activities] & Workplace population & ONS Census Workplace population, Scotland's census Workplace population & Vector (output area polygon) & Building-based dasymetric areal interpolation \\\\\n", " Workplace population [Public administration, education and health] & Workplace population & ONS Census Workplace population, Scotland's census Workplace population & Vector (output area polygon) & Building-based dasymetric areal interpolation \\\\\n", " Workplace population [Other] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Airports] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Non-irrigated arable land] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Industrial or commercial units] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Salt marshes] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Estuaries] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Sport and leisure facilities] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Green urban areas] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Discontinuous urban fabric] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Pastures] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Broad-leaved forest] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Mineral extraction sites] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Port areas] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Road and rail networks and associated land] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Water bodies] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", "Land cover [Land principally occupied by agriculture, with significant areas of natural vegetation] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Mixed forest] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Peat bogs] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Natural grasslands] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Moors and heathland] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Transitional woodland-shrub] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Continuous urban fabric] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Intertidal flats] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Sea and ocean] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Coniferous forest] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Construction sites] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Sparsely vegetated areas] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Bare rocks] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Inland marshes] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Dump sites] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Fruit trees and berry plantations] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Complex cultivation patterns] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Beaches, dunes, sands] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Water courses] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Burnt areas] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Agro-forestry areas] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " Land cover [Coastal lagoons] & Corine land cover & Copernicus Land Monitoring Service & Vector (land cover zone polygon) & Areal interpolation \\\\\n", " NDVI & NDVI & GHS-composite-S2 R2020A & Raster (10m) & Zonal statistics \\\\\n", " Supermarkets [distance to nearest] & Retail POIs (supermarkets) & Geolytix & Vector (point) & Network-constrained accessibility \\\\\n", " Supermarkets [counts within 1200m] & Retail POIs (supermarkets) & Geolytix & Vector (point) & Network-constrained accessibility \\\\\n", " Listed buildings [distance to nearest] & Listed Buildings & Historic England, Historic Environment Scotland, Lle Geo-Portal for Wales & Vector (point) & Network-constrained accessibility \\\\\n", " Listed buildings [counts within 1200m] & Listed Buildings & Historic England, Historic Environment Scotland, Lle Geo-Portal for Wales & Vector (point) & Network-constrained accessibility \\\\\n", " FHRS points [distance to nearest] & Food Hygiene Rating Scheme Ratings & CDRC.ac.uk & Vector (point) & Network-constrained accessibility \\\\\n", " FHRS points [counts within 1200m] & Food Hygiene Rating Scheme Ratings & CDRC.ac.uk & Vector (point) & Network-constrained accessibility \\\\\n", " Cultural venues [distance to nearest] & Culture (theatres, cinemas) & OpenStreetMap & Vector (point) & Network-constrained accessibility \\\\\n", " Cultural venues [counts within 1200m] & Culture (theatres, cinemas) & OpenStreetMap & Vector (point) & Network-constrained accessibility \\\\\n", " Water bodies [distance to nearest] & Water bodies & OS OpenMap Local & Vector (water body polygon) & Euclidean accessibility \\\\\n", " Retail centres [distance to nearest] & Retail centres & CDRC.ac.uk & Vector (retail centre polygon) & Euclidean accessibility \\\\\n", "\\end{longtable}\n", "\n" ] } ], "source": [ "with pandas.option_context(\"max_colwidth\", 1000):\n", " print(functional.to_latex(index=False, longtable=True))" ] }, { "cell_type": "code", "execution_count": 136, "id": "6ecbc63c-5549-4650-b6a5-dab10598d8c5", "metadata": { "collapsed": true, "jupyter": { "outputs_hidden": true }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\\begin{tabular}{ll}\n", "\\toprule\n", "{} & 0 \\\\\n", "\\midrule\n", "Wild countryside & In “Wild countryside”, human influence is the least intensive. This signature covers large open spaces in the countryside where no urbanisation happens apart from occasional roads, cottages, and pastures. You can find it across the Scottish Highlands, numerous national parks such as Lake District, or in the majority of Wales. \\\\\n", "Countryside agriculture & “Countryside agriculture” features much of the English countryside and displays a high degree of agriculture including both fields and pastures. There are a few buildings scattered across the area but, for the most part, it is green space. \\\\\n", "Urban buffer & “Urban buffer” can be characterised as a green belt around cities. This signature includes mostly agricultural land in the immediate adjacency of towns and cities, often including edge development. It still feels more like countryside than urban, but these signatures are much smaller compared to other countryside types. \\\\\n", "Open sprawl & “Open sprawl” represents the transition between countryside and urbanised land. It is located in the outskirts of cities or around smaller towns and is typically made up of large open space areas intertwined with different kinds of human development, from highways to smaller neighbourhoods. \\\\\n", "Disconnected suburbia & “Disconnected suburbia” includes residential developments in the outskirts of cities or even towns and villages with convoluted, disconnected street networks, low built-up and population densities, and lack of jobs and services. This signature type is entirely car-dependent. \\\\\n", "Accessible suburbia & “Accessible suburbia” covers residential development on the urban periphery with a relatively legible and connected street network, albeit less so than other more urban signature types. Areas in this signature feature low density, both in terms of population and built-up area, lack of jobs and services. For these reasons, “accessible suburbia” largely acts as dormitories. \\\\\n", "Warehouse/Park land & “Warehouse/Park land” covers predominantly industrial areas and other work-related developments made of box-like buildings with large footprints. It contains many jobs of manual nature such as manufacturing or construction, and very little population live here compared to the rest of urban areas. Occasionally this type also covers areas of parks with large scale green open areas. \\\\\n", "Gridded residential quarters & “Gridded residential quarters” are areas with street networks forming a well-connected grid-like (high density of 4-way intersections) pattern, resulting in places with smaller blocks and higher granularity. This signature is mostly residential but includes some services and jobs, and it tends to be located away from city centres. \\\\\n", "Connected residential neighbourhoods & “Connected residential neighbourhoods” are relatively dense urban areas, both in terms of population and built-up area, that tend to be formed around well-connected street networks. They have access to services and some jobs but may be further away from city centres leading to higher dependency on cars and public transport for their residents. \\\\\n", "Dense residential neighbourhoods & A “dense residential neighbourhood” is an abundant signature often covering large parts of cities outside of their centres. It has primarily residential purpose and high population density, varied street network patterns, and some services and jobs but not in high intensity. \\\\\n", "Dense urban neighbourhoods & “Dense urban neighbourhoods” are areas of inner-city with high population and built-up density of a predominantly residential nature but with direct access to jobs and services. This signature type tends to be relatively walkable and, in the case of some towns, may even form their centres. \\\\\n", "Local urbanity & “Local urbanity” reflects town centres, outer parts of city centres or even district centres. In all cases, this signature is very much urban in essence, combining high population and built-up density, access to amenities and jobs. Yet, it is on the lower end of the hierarchy of signature types denoting urban centres with only a local significance. \\\\\n", "Regional urbanity & “Regional urbanity” captures centres of mid-size cities with regional importance such as Liverpool, Plymouth or Newcastle upon Tyne. It is often encircled by “Local urbanity” signatures and can form outer rings of city centres in large cities. It features high population density, as well as a high number of jobs and amenities within walkable distance. \\\\\n", "Metropolitan urbanity & Signature type “Metropolitan urbanity” captures the centre of the largest cities in Great Britain such as Glasgow, Birmingham or Manchester. It is characterised by a very high number of jobs in the area, high built-up density and often high population density. This type serves as the core centre of the entire metropolitan areas. \\\\\n", "Concentrated urbanity & Concentrated urbanity” is a signature type found in the city centre of London and nowhere else in Great Britain. It reflects the uniqueness of London in the British context with an extremely high number of jobs and amenities located nearby, as well as high built-up and population densities. Buildings in this signature are large and tightly packed, forming complex shapes with courtyards and little green space. \\\\\n", "Hyper concentrated urbanity & The epitome of urbanity in the British context. “Hyper concentrated urbanity” is a signature type present only in the centre of London, around the Soho district, and covering Oxford and Regent streets. This signature is the result of centuries of urban primacy, with a multitude of historical layers interwoven, very high built-up and population density, and extreme abundance of amenities, services and jobs. \\\\\n", "\\bottomrule\n", "\\end{tabular}\n", "\n" ] } ], "source": [ "with pandas.option_context(\"max_colwidth\", 10000):\n", " print(pandas.Series(\n", " {\n", " \"Wild countryside\": \"In “Wild countryside”, human influence is the least intensive. This signature covers large open spaces in the countryside where no urbanisation happens apart from occasional roads, cottages, and pastures. You can find it across the Scottish Highlands, numerous national parks such as Lake District, or in the majority of Wales.\",\n", " \"Countryside agriculture\": \"“Countryside agriculture” features much of the English countryside and displays a high degree of agriculture including both fields and pastures. There are a few buildings scattered across the area but, for the most part, it is green space.\",\n", " \"Urban buffer\": \"“Urban buffer” can be characterised as a green belt around cities. This signature includes mostly agricultural land in the immediate adjacency of towns and cities, often including edge development. It still feels more like countryside than urban, but these signatures are much smaller compared to other countryside types.\",\n", " \"Open sprawl\": \"“Open sprawl” represents the transition between countryside and urbanised land. It is located in the outskirts of cities or around smaller towns and is typically made up of large open space areas intertwined with different kinds of human development, from highways to smaller neighbourhoods.\",\n", " \"Disconnected suburbia\": \"“Disconnected suburbia” includes residential developments in the outskirts of cities or even towns and villages with convoluted, disconnected street networks, low built-up and population densities, and lack of jobs and services. This signature type is entirely car-dependent.\",\n", " \"Accessible suburbia\": \"“Accessible suburbia” covers residential development on the urban periphery with a relatively legible and connected street network, albeit less so than other more urban signature types. Areas in this signature feature low density, both in terms of population and built-up area, lack of jobs and services. For these reasons, “accessible suburbia” largely acts as dormitories.\",\n", " \"Warehouse/Park land\": \"“Warehouse/Park land” covers predominantly industrial areas and other work-related developments made of box-like buildings with large footprints. It contains many jobs of manual nature such as manufacturing or construction, and very little population live here compared to the rest of urban areas. Occasionally this type also covers areas of parks with large scale green open areas.\",\n", " \"Gridded residential quarters\": \"“Gridded residential quarters” are areas with street networks forming a well-connected grid-like (high density of 4-way intersections) pattern, resulting in places with smaller blocks and higher granularity. This signature is mostly residential but includes some services and jobs, and it tends to be located away from city centres.\",\n", " \"Connected residential neighbourhoods\": \"“Connected residential neighbourhoods” are relatively dense urban areas, both in terms of population and built-up area, that tend to be formed around well-connected street networks. They have access to services and some jobs but may be further away from city centres leading to higher dependency on cars and public transport for their residents.\",\n", " \"Dense residential neighbourhoods\": \"A “dense residential neighbourhood” is an abundant signature often covering large parts of cities outside of their centres. It has primarily residential purpose and high population density, varied street network patterns, and some services and jobs but not in high intensity.\",\n", " \"Dense urban neighbourhoods\": \"“Dense urban neighbourhoods” are areas of inner-city with high population and built-up density of a predominantly residential nature but with direct access to jobs and services. This signature type tends to be relatively walkable and, in the case of some towns, may even form their centres.\",\n", " \"Local urbanity\": \"“Local urbanity” reflects town centres, outer parts of city centres or even district centres. In all cases, this signature is very much urban in essence, combining high population and built-up density, access to amenities and jobs. Yet, it is on the lower end of the hierarchy of signature types denoting urban centres with only a local significance.\",\n", " \"Regional urbanity\": \"“Regional urbanity” captures centres of mid-size cities with regional importance such as Liverpool, Plymouth or Newcastle upon Tyne. It is often encircled by “Local urbanity” signatures and can form outer rings of city centres in large cities. It features high population density, as well as a high number of jobs and amenities within walkable distance.\",\n", " \"Metropolitan urbanity\": \"Signature type “Metropolitan urbanity” captures the centre of the largest cities in Great Britain such as Glasgow, Birmingham or Manchester. It is characterised by a very high number of jobs in the area, high built-up density and often high population density. This type serves as the core centre of the entire metropolitan areas.\",\n", " \"Concentrated urbanity\": \"Concentrated urbanity” is a signature type found in the city centre of London and nowhere else in Great Britain. It reflects the uniqueness of London in the British context with an extremely high number of jobs and amenities located nearby, as well as high built-up and population densities. Buildings in this signature are large and tightly packed, forming complex shapes with courtyards and little green space.\",\n", " \"Hyper concentrated urbanity\": \"The epitome of urbanity in the British context. “Hyper concentrated urbanity” is a signature type present only in the centre of London, around the Soho district, and covering Oxford and Regent streets. This signature is the result of centuries of urban primacy, with a multitude of historical layers interwoven, very high built-up and population density, and extreme abundance of amenities, services and jobs.\",\n", " }\n", " ).to_latex())" ] }, { "cell_type": "code", "execution_count": 143, "id": "deaa1079-7e1a-40a4-932c-570a0ea09817", "metadata": {}, "outputs": [], "source": [ "prof = pandas.read_csv(\"../../urbangrammar_samba/spatial_signatures/data_product/per_type.csv\").drop(columns=\"code\").set_index(\"type\").T" ] }, { "cell_type": "code", "execution_count": 146, "id": "f61d3db1-fb14-4bf9-91b5-6c4442d48cfd", "metadata": {}, "outputs": [], "source": [ "prof.index = prof.index.map(key)" ] }, { "cell_type": "code", "execution_count": 149, "id": "9caaca3d-0d74-4a55-8af6-0b9856b6cceb", "metadata": { "collapsed": true, "jupyter": { "outputs_hidden": true }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\\begin{tabular}{lrrrrrrrrrrrrrrrr}\n", "\\toprule\n", "type & Accessible suburbia & Connected residential neighbourhoods & Countryside agriculture & Dense residential neighbourhoods & Dense urban neighbourhoods & Disconnected suburbia & Concentrated urbanity & Gridded residential quarters & Hyper concentrated urbanity & Local urbanity & Metropolitan urbanity & Open sprawl & Regional urbanity & Urban buffer & Warehouse/Park land & Wild countryside \\\\\n", "\\midrule\n", "area of building & 176.95 & 272.52 & 204.10 & 375.60 & 588.36 & 212.71 & 3713.38 & 283.89 & 3358.10 & 823.35 & 2413.94 & 226.72 & 1480.26 & 209.42 & 393.22 & 209.86 \\\\\n", "perimeter of building & 53.90 & 69.12 & 56.05 & 80.56 & 107.36 & 61.63 & 376.30 & 69.67 & 330.82 & 135.54 & 283.94 & 59.64 & 195.98 & 55.94 & 75.68 & 57.12 \\\\\n", "courtyard area of building & 0.48 & 1.07 & 0.51 & 2.13 & 5.03 & 0.52 & 159.09 & 0.75 & 90.82 & 12.67 & 118.95 & 0.90 & 43.19 & 0.74 & 3.26 & 0.22 \\\\\n", "circular compactness of building & 0.53 & 0.48 & 0.51 & 0.47 & 0.44 & 0.49 & 0.43 & 0.49 & 0.45 & 0.41 & 0.40 & 0.52 & 0.39 & 0.52 & 0.47 & 0.50 \\\\\n", "corners of building & 4.25 & 4.45 & 4.37 & 4.69 & 5.21 & 4.35 & 12.48 & 4.51 & 9.27 & 6.01 & 9.72 & 4.37 & 7.78 & 4.34 & 4.56 & 4.38 \\\\\n", "squareness of building & 0.78 & 1.47 & 0.81 & 1.86 & 3.28 & 1.02 & 18.59 & 1.66 & 22.51 & 5.07 & 12.41 & 0.99 & 8.84 & 0.86 & 1.35 & 0.71 \\\\\n", "equivalent rectangular index of building & 0.99 & 0.98 & 0.98 & 0.97 & 0.95 & 0.98 & 0.78 & 0.98 & 0.80 & 0.92 & 0.82 & 0.98 & 0.87 & 0.98 & 0.98 & 0.98 \\\\\n", "elongation of building & 0.64 & 0.56 & 0.60 & 0.56 & 0.52 & 0.57 & 0.59 & 0.58 & 0.62 & 0.51 & 0.53 & 0.62 & 0.51 & 0.63 & 0.54 & 0.59 \\\\\n", "centroid - corner mean distance of building & 9.60 & 12.41 & 9.79 & 13.96 & 18.00 & 11.11 & 35.93 & 12.41 & 37.22 & 20.71 & 29.68 & 10.49 & 25.25 & 9.81 & 13.20 & 9.95 \\\\\n", "centroid - corner distance deviation of building & 0.36 & 0.71 & 0.56 & 1.07 & 1.88 & 0.54 & 9.03 & 0.80 & 7.70 & 2.98 & 6.78 & 0.55 & 4.98 & 0.49 & 0.88 & 0.60 \\\\\n", "orientation of building & 19.56 & 25.50 & 20.57 & 16.41 & 20.64 & 26.39 & 20.32 & 23.13 & 26.26 & 20.78 & 22.30 & 20.21 & 21.82 & 21.10 & 23.30 & 21.86 \\\\\n", "longest axis length of ETC & 50.84 & 57.72 & 220.30 & 64.46 & 73.56 & 53.55 & 112.12 & 52.89 & 126.58 & 80.14 & 100.52 & 60.97 & 91.91 & 105.16 & 78.67 & 449.71 \\\\\n", "area of ETC & 1147.25 & 1517.81 & 31193.48 & 1917.31 & 2410.32 & 1259.03 & 5708.23 & 1251.54 & 8654.32 & 2696.40 & 4442.21 & 2000.37 & 3535.28 & 8658.83 & 3520.84 & 155623.92 \\\\\n", "circular compactness of ETC & 0.47 & 0.48 & 0.38 & 0.48 & 0.47 & 0.49 & 0.46 & 0.48 & 0.47 & 0.46 & 0.42 & 0.47 & 0.44 & 0.44 & 0.46 & 0.35 \\\\\n", "equivalent rectangular index of ETC & 0.97 & 0.97 & 0.93 & 0.96 & 0.96 & 0.97 & 0.94 & 0.97 & 0.95 & 0.95 & 0.93 & 0.97 & 0.94 & 0.95 & 0.96 & 0.91 \\\\\n", "orientation of ETC & 20.40 & 24.94 & 21.92 & 17.77 & 21.07 & 25.28 & 20.37 & 23.06 & 25.96 & 21.22 & 22.38 & 21.07 & 21.88 & 21.86 & 23.27 & 22.51 \\\\\n", "covered area ratio of ETC & 0.19 & 0.20 & 0.07 & 0.52 & 0.27 & 0.22 & 0.91 & 0.23 & 0.61 & 0.60 & 4.85 & 0.18 & 1122.51 & 0.14 & 0.18 & 0.04 \\\\\n", "cell alignment of building & 7.38 & 6.12 & 11.49 & 6.52 & 5.61 & 8.08 & 4.43 & 5.48 & 2.72 & 5.64 & 4.86 & 8.64 & 5.25 & 9.76 & 8.03 & 12.55 \\\\\n", "alignment of neighbouring buildings & 5.31 & 5.36 & 8.45 & 5.39 & 5.17 & 5.67 & 5.95 & 4.93 & 6.55 & 5.67 & 6.37 & 6.48 & 6.27 & 7.06 & 6.06 & 10.05 \\\\\n", "mean distance between neighbouring buildings & 17.82 & 19.17 & 111.38 & 20.84 & 21.13 & 18.63 & 18.96 & 16.48 & 22.95 & 20.62 & 22.33 & 22.13 & 20.94 & 45.37 & 28.71 & 238.45 \\\\\n", "perimeter-weighted neighbours of ETC & 0.04 & 0.04 & 0.02 & 0.04 & 0.07 & 0.05 & 0.03 & 0.04 & 0.04 & 0.11 & 0.04 & 0.06 & 7.46 & 0.13 & 0.04 & 0.01 \\\\\n", "area covered by neighbouring cells & 8620.11 & 11990.46 & 277883.95 & 15619.36 & 20375.37 & 9503.57 & 52023.10 & 9962.17 & 61122.40 & 22892.04 & 39665.51 & 16780.98 & 31594.99 & 76942.43 & 31956.96 & 1485709.28 \\\\\n", "weighted reached enclosures of ETC & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "mean inter-building distance & 21.97 & 24.07 & 167.60 & 26.48 & 27.37 & 22.03 & 22.73 & 21.34 & 23.74 & 26.28 & 26.99 & 28.94 & 26.32 & 67.27 & 40.97 & 367.72 \\\\\n", "width of street profile & 28.38 & 26.84 & 32.84 & 26.29 & 24.84 & 27.65 & 19.47 & 24.27 & 17.47 & 24.56 & 22.61 & 28.59 & 23.44 & 31.00 & 30.85 & 34.31 \\\\\n", "width deviation of street profile & 3.30 & 3.27 & 3.91 & 3.50 & 3.45 & 3.71 & 3.29 & 3.87 & 2.85 & 3.60 & 3.50 & 3.74 & 3.62 & 3.76 & 3.26 & 3.41 \\\\\n", "openness of street profile & 0.42 & 0.41 & 0.83 & 0.43 & 0.41 & 0.44 & 0.28 & 0.38 & 0.22 & 0.41 & 0.37 & 0.48 & 0.39 & 0.62 & 0.53 & 0.92 \\\\\n", "length of street segment & 187.61 & 162.45 & 574.25 & 153.66 & 151.58 & 150.53 & 108.90 & 126.02 & 93.90 & 143.14 & 123.30 & 183.43 & 132.18 & 333.77 & 220.94 & 842.79 \\\\\n", "linearity of street segment & 0.93 & 0.94 & 0.93 & 0.92 & 0.93 & 0.92 & 0.94 & 0.94 & 0.97 & 0.92 & 0.93 & 0.90 & 0.92 & 0.91 & 0.91 & 0.91 \\\\\n", "mean segment length within 3 steps & 2327.31 & 2374.39 & 5884.25 & 1992.44 & 2113.58 & 1707.52 & 1944.94 & 1950.07 & 2057.70 & 2011.42 & 2112.12 & 1862.02 & 2034.72 & 3170.78 & 2339.74 & 8062.03 \\\\\n", "node degree of junction & 2.87 & 3.00 & 2.78 & 2.89 & 2.94 & 2.68 & 3.12 & 3.04 & 3.33 & 2.94 & 3.14 & 2.68 & 3.01 & 2.70 & 2.77 & 2.69 \\\\\n", "local meshedness of street network & 0.08 & 0.11 & 0.06 & 0.10 & 0.11 & 0.05 & 0.14 & 0.13 & 0.17 & 0.11 & 0.14 & 0.06 & 0.12 & 0.05 & 0.08 & 0.05 \\\\\n", "local proportion of 3-way intersections of street network & 0.74 & 0.74 & 0.72 & 0.74 & 0.74 & 0.71 & 0.76 & 0.72 & 0.70 & 0.75 & 0.75 & 0.71 & 0.76 & 0.71 & 0.75 & 0.68 \\\\\n", "local proportion of 4-way intersections of street network & 0.07 & 0.12 & 0.04 & 0.09 & 0.11 & 0.04 & 0.15 & 0.16 & 0.23 & 0.11 & 0.17 & 0.04 & 0.13 & 0.04 & 0.05 & 0.04 \\\\\n", "local proportion of cul-de-sacs of street network & 0.19 & 0.14 & 0.24 & 0.17 & 0.14 & 0.25 & 0.09 & 0.12 & 0.06 & 0.14 & 0.08 & 0.25 & 0.11 & 0.25 & 0.20 & 0.28 \\\\\n", "local closeness of street network & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "local cul-de-sac length of street network & 228.58 & 163.78 & 636.07 & 196.63 & 170.89 & 275.96 & 84.41 & 133.13 & 75.11 & 167.72 & 79.56 & 288.26 & 128.76 & 408.67 & 253.49 & 1186.52 \\\\\n", "square clustering of street network & 0.03 & 0.04 & 0.01 & 0.03 & 0.04 & 0.01 & 0.03 & 0.04 & 0.04 & 0.03 & 0.04 & 0.02 & 0.03 & 0.02 & 0.03 & 0.01 \\\\\n", "mean distance to neighbouring nodes of street network & 132.49 & 118.06 & 373.74 & 112.48 & 111.55 & 111.69 & 86.38 & 92.19 & 81.24 & 106.90 & 93.66 & 129.03 & 99.79 & 212.34 & 150.43 & 601.60 \\\\\n", "local node density of street network & 0.02 & 0.02 & 0.01 & 0.02 & 0.02 & 0.03 & 0.02 & 0.02 & 0.02 & 0.02 & 0.02 & 0.03 & 0.02 & 0.02 & 0.02 & 0.01 \\\\\n", "local degree weighted node density of street network & 0.03 & 0.03 & 0.02 & 0.04 & 0.04 & 0.04 & 0.04 & 0.04 & 0.04 & 0.04 & 0.04 & 0.04 & 0.04 & 0.03 & 0.03 & 0.01 \\\\\n", "street alignment of building & 8.73 & 7.53 & 11.81 & 8.25 & 7.57 & 9.98 & 7.84 & 6.95 & 6.23 & 8.05 & 8.32 & 10.97 & 8.06 & 11.33 & 10.02 & 12.77 \\\\\n", "area covered by node-attached ETCs & 22426.36 & 14599.22 & 286081.33 & 14037.94 & 13513.86 & 15656.96 & 13069.71 & 9488.11 & 20051.57 & 11878.66 & 13201.87 & 25443.99 & 12080.93 & 100470.30 & 33097.00 & 1215083.95 \\\\\n", "area covered by edge-attached ETCs & 36496.96 & 24423.69 & 502883.47 & 25413.44 & 26111.44 & 26810.65 & 33257.27 & 17094.77 & 38566.99 & 25905.75 & 31497.77 & 47178.87 & 29440.27 & 188719.66 & 66614.68 & 2174736.93 \\\\\n", "buildings per meter of street segment & 0.11 & 0.08 & 0.05 & 0.08 & 0.07 & 0.10 & 0.05 & 0.09 & 0.05 & 0.06 & 0.05 & 0.10 & 0.05 & 0.09 & 0.07 & 0.02 \\\\\n", "reached ETCs by neighbouring segments & 49.09 & 33.99 & 38.08 & 26.79 & 21.56 & 32.35 & 8.88 & 26.76 & 8.57 & 16.97 & 11.04 & 35.17 & 13.53 & 43.96 & 30.27 & 26.08 \\\\\n", "reached area by neighbouring segments & 113290.06 & 88462.74 & 1591397.39 & 89313.79 & 97515.74 & 84060.33 & 145420.68 & 64059.40 & 151507.35 & 100616.06 & 132683.99 & 140813.94 & 119718.73 & 556190.10 & 211678.46 & 5556960.68 \\\\\n", "reached ETCs by local street network & 166.98 & 126.07 & 110.89 & 90.93 & 74.36 & 102.39 & 28.79 & 99.87 & 27.00 & 56.17 & 36.29 & 103.45 & 43.97 & 123.39 & 93.33 & 71.94 \\\\\n", "reached area by local street network & 451276.21 & 390719.33 & 5858316.88 & 369240.03 & 416784.68 & 316062.25 & 703631.50 & 296524.52 & 621126.10 & 439804.09 & 643746.00 & 506987.49 & 540975.07 & 1982158.35 & 794621.33 & 17403052.98 \\\\\n", "reached ETCs by tessellation contiguity & 36.80 & 40.24 & 46.23 & 43.10 & 45.61 & 39.57 & 53.52 & 42.04 & 48.46 & 47.29 & 51.81 & 41.55 & 51.95 & 43.57 & 42.93 & 47.56 \\\\\n", "reached area by tessellation contiguity & 60511.46 & 87537.63 & 2410926.40 & 115962.63 & 152810.21 & 63671.98 & 372984.21 & 73335.07 & 306427.88 & 173857.48 & 302746.84 & 136577.35 & 238390.55 & 692699.47 & 297667.66 & 14081627.81 \\\\\n", "area of enclosure & 242778.35 & 95677.02 & 3591565.15 & 133719.21 & 105561.74 & 282930.77 & 28859.85 & 110195.65 & 31788.41 & 83656.67 & 29460.25 & 640071.17 & 63476.79 & 1854684.23 & 430998.35 & 44036373.80 \\\\\n", "perimeter of enclosure & 2046.29 & 1360.81 & 7599.46 & 1693.62 & 1463.16 & 2380.50 & 683.27 & 1150.58 & 538.87 & 1299.32 & 671.29 & 3793.33 & 1009.07 & 5664.05 & 2992.30 & 21952.84 \\\\\n", "circular compactness of enclosure & 0.40 & 0.39 & 0.40 & 0.38 & 0.38 & 0.42 & 0.44 & 0.41 & 0.45 & 0.39 & 0.40 & 0.38 & 0.40 & 0.39 & 0.38 & 0.38 \\\\\n", "equivalent rectangular index of enclosure & 0.85 & 0.87 & 0.84 & 0.84 & 0.86 & 0.83 & 0.91 & 0.89 & 0.94 & 0.85 & 0.89 & 0.77 & 0.87 & 0.80 & 0.80 & 0.79 \\\\\n", "compactness-weighted axis of enclosure & 515.77 & 344.74 & 1777.66 & 441.16 & 397.37 & 567.78 & 144.75 & 289.81 & 120.13 & 345.64 & 153.64 & 986.37 & 249.05 & 1434.02 & 780.52 & 5069.06 \\\\\n", "orientation of enclosure & 19.24 & 25.62 & 21.39 & 16.18 & 20.88 & 27.07 & 20.23 & 23.04 & 24.93 & 21.09 & 21.77 & 20.39 & 22.00 & 21.52 & 24.08 & 22.66 \\\\\n", "perimeter-weighted neighbours of enclosure & 0.01 & 0.01 & 0.01 & 0.02 & 0.08 & 0.02 & 0.04 & 0.02 & 0.08 & 0.12 & 0.06 & 0.05 & 9.94 & 0.11 & 0.01 & 0.01 \\\\\n", "area-weighted ETCs of enclosure & 36.32 & 2.82 & 746.28 & 3.03 & 4.63 & 2137242.86 & 0.00 & 0.43 & 0.00 & 0.14 & 0.01 & 330422.61 & 0.01 & 1178106554.77 & 627879.43 & 2270509.66 \\\\\n", "Population & 4.51 & 8.57 & 1.91 & 10.02 & 17.52 & 6.55 & 36.91 & 7.74 & 37.93 & 28.87 & 43.70 & 5.06 & 42.99 & 3.43 & 6.93 & 1.31 \\\\\n", "Night lights & 11.02 & 19.99 & 1.39 & 22.63 & 34.74 & 12.35 & 115.70 & 15.17 & 183.23 & 51.19 & 87.38 & 10.96 & 67.53 & 5.08 & 18.29 & 0.48 \\\\\n", "Workplace population [Agriculture, energy and water] & 0.01 & 0.03 & 0.08 & 0.07 & 0.11 & 0.02 & 2.44 & 0.03 & 1.41 & 0.18 & 1.01 & 0.04 & 0.39 & 0.05 & 0.10 & 0.11 \\\\\n", "Workplace population [Manufacturing] & 0.12 & 0.29 & 0.22 & 0.64 & 1.10 & 0.21 & 12.80 & 0.36 & 20.14 & 1.32 & 4.18 & 0.42 & 2.03 & 0.38 & 1.25 & 0.09 \\\\\n", "Workplace population [Construction] & 0.12 & 0.22 & 0.10 & 0.33 & 0.56 & 0.18 & 9.16 & 0.20 & 10.68 & 0.80 & 3.80 & 0.17 & 1.40 & 0.14 & 0.34 & 0.07 \\\\\n", "Workplace population [Distribution, hotels and restaurants] & 0.21 & 0.61 & 0.19 & 1.17 & 2.30 & 0.38 & 54.16 & 0.73 & 152.31 & 4.16 & 22.76 & 0.45 & 11.90 & 0.32 & 1.00 & 0.12 \\\\\n", "Workplace population [Transport and communication] & 0.07 & 0.21 & 0.07 & 0.41 & 0.88 & 0.13 & 39.51 & 0.18 & 97.90 & 1.96 & 18.93 & 0.16 & 5.70 & 0.14 & 0.51 & 0.04 \\\\\n", "Workplace population [Financial, real estate, professional and administrative activities] & 0.15 & 0.40 & 0.13 & 0.78 & 1.81 & 0.26 & 258.67 & 0.38 & 172.75 & 4.89 & 65.30 & 0.27 & 16.45 & 0.21 & 0.61 & 0.06 \\\\\n", "Workplace population [Public administration, education and health] & 0.43 & 0.94 & 0.22 & 1.67 & 3.21 & 0.59 & 41.70 & 0.98 & 30.82 & 5.71 & 42.90 & 0.59 & 14.50 & 0.39 & 1.06 & 0.12 \\\\\n", "Workplace population [Other] & 0.06 & 0.15 & 0.05 & 0.26 & 0.56 & 0.10 & 23.06 & 0.17 & 38.16 & 1.14 & 8.74 & 0.09 & 3.40 & 0.07 & 0.16 & 0.03 \\\\\n", "Land cover [Airports] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "Land cover [Non-irrigated arable land] & 0.00 & 0.00 & 0.35 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.01 & 0.00 & 0.11 & 0.02 & 0.15 \\\\\n", "Land cover [Industrial or commercial units] & 0.00 & 0.02 & 0.01 & 0.05 & 0.09 & 0.01 & 0.00 & 0.00 & 0.00 & 0.09 & 0.01 & 0.03 & 0.06 & 0.03 & 0.14 & 0.00 \\\\\n", "Land cover [Salt marshes] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.01 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "Land cover [Estuaries] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "Land cover [Sport and leisure facilities] & 0.00 & 0.00 & 0.02 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.01 & 0.00 & 0.02 & 0.01 & 0.01 \\\\\n", "Land cover [Green urban areas] & 0.01 & 0.01 & 0.00 & 0.01 & 0.01 & 0.00 & 0.03 & 0.00 & 0.00 & 0.01 & 0.03 & 0.01 & 0.01 & 0.00 & 0.02 & 0.00 \\\\\n", "Land cover [Discontinuous urban fabric] & 0.98 & 0.95 & 0.20 & 0.88 & 0.75 & 0.98 & 0.06 & 0.92 & 0.00 & 0.63 & 0.08 & 0.91 & 0.34 & 0.68 & 0.77 & 0.03 \\\\\n", "Land cover [Pastures] & 0.00 & 0.00 & 0.36 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.02 & 0.00 & 0.00 & 0.02 & 0.00 & 0.12 & 0.02 & 0.59 \\\\\n", "Land cover [Broad-leaved forest] & 0.00 & 0.00 & 0.02 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.01 & 0.00 & 0.03 \\\\\n", "Land cover [Mineral extraction sites] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "Land cover [Port areas] & 0.00 & 0.00 & 0.00 & 0.00 & 0.01 & 0.00 & 0.00 & 0.00 & 0.00 & 0.01 & 0.00 & 0.00 & 0.01 & 0.00 & 0.01 & 0.00 \\\\\n", "Land cover [Road and rail networks and associated land] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "Land cover [Water bodies] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "Land cover [Land principally occupied by agriculture, with significant areas of natural vegetation] & 0.00 & 0.00 & 0.01 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.01 \\\\\n", "Land cover [Mixed forest] & 0.00 & 0.00 & 0.01 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.02 \\\\\n", "Land cover [Peat bogs] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.02 \\\\\n", "Land cover [Natural grasslands] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.04 \\\\\n", "Land cover [Moors and heathland] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.04 \\\\\n", "Land cover [Transitional woodland-shrub] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.01 \\\\\n", "Land cover [Continuous urban fabric] & 0.00 & 0.02 & 0.00 & 0.04 & 0.13 & 0.00 & 0.90 & 0.07 & 0.97 & 0.25 & 0.88 & 0.00 & 0.57 & 0.00 & 0.00 & 0.00 \\\\\n", "Land cover [Intertidal flats] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "Land cover [Sea and ocean] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "Land cover [Construction sites] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.01 & 0.00 & 0.00 \\\\\n", "Land cover [Burnt areas] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "Land cover [Dump sites] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "Land cover [Complex cultivation patterns] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "Land cover [Inland marshes] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "Land cover [Water courses] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.01 & 0.00 & 0.00 & 0.00 & 0.01 & 0.00 & 0.01 & 0.00 & 0.00 & 0.00 \\\\\n", "Land cover [Coniferous forest] & 0.00 & 0.00 & 0.01 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.04 \\\\\n", "Land cover [Bare rocks] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "Land cover [Coastal lagoons] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "Land cover [Beaches, dunes, sands] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "Land cover [Agro-forestry areas] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "Land cover [Sparsely vegetated areas] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "Land cover [Fruit trees and berry plantations] & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 & 0.00 \\\\\n", "NDVI & 0.29 & 0.25 & 0.48 & 0.23 & 0.19 & 0.29 & 0.03 & 0.21 & 0.00 & 0.16 & 0.06 & 0.29 & 0.11 & 0.37 & 0.29 & 0.56 \\\\\n", "Supermarkets [distance to nearest] & 828.82 & 679.96 & 4751.23 & 661.77 & 587.28 & 761.86 & 229.90 & 577.68 & 324.42 & 483.02 & 299.93 & 948.03 & 331.07 & 1752.87 & 1043.84 & 9854.12 \\\\\n", "Supermarkets [counts within 1200m] & 1.89 & 2.86 & 0.09 & 3.13 & 4.44 & 2.07 & 22.51 & 3.41 & 18.79 & 6.85 & 17.27 & 1.47 & 12.53 & 0.65 & 1.43 & 0.03 \\\\\n", "Listed buildings [distance to nearest] & 744.22 & 596.61 & 557.94 & 506.61 & 350.89 & 729.61 & 31.73 & 516.20 & 69.75 & 216.86 & 51.87 & 760.26 & 115.00 & 673.93 & 934.00 & 1324.03 \\\\\n", "Listed buildings [counts within 1200m] & 11.27 & 24.28 & 11.22 & 37.47 & 62.78 & 24.18 & 685.16 & 31.77 & 1142.57 & 140.03 & 456.53 & 18.17 & 324.50 & 16.14 & 10.57 & 4.21 \\\\\n", "FHRS points [distance to nearest] & 218.46 & 152.48 & 725.69 & 144.02 & 106.08 & 217.95 & 16.22 & 129.24 & 14.10 & 82.47 & 40.06 & 267.24 & 56.87 & 379.17 & 256.22 & 1699.17 \\\\\n", "FHRS points [counts within 1200m] & 334.43 & 692.66 & 44.47 & 860.93 & 1568.44 & 342.08 & 6297.61 & 1081.38 & 9213.15 & 2167.91 & 4490.95 & 253.88 & 3163.83 & 132.66 & 271.09 & 33.07 \\\\\n", "Cultural venues [distance to nearest] & 5384.64 & 3946.05 & 13156.20 & 3497.51 & 2287.43 & 5831.52 & 702.75 & 4094.92 & 351.33 & 1273.23 & 644.53 & 6309.75 & 850.25 & 8939.65 & 5121.47 & 20695.29 \\\\\n", "Cultural venues [counts within 1200m] & 0.06 & 0.13 & 0.00 & 0.26 & 0.48 & 0.08 & 10.39 & 0.24 & 34.20 & 1.13 & 4.45 & 0.06 & 2.23 & 0.02 & 0.06 & 0.00 \\\\\n", "Water bodies [distance to nearest] & 542.61 & 555.96 & 304.49 & 483.12 & 528.85 & 523.05 & 565.25 & 522.09 & 759.60 & 507.71 & 467.71 & 378.36 & 461.42 & 345.79 & 417.43 & 236.73 \\\\\n", "Retail centres [distance to nearest] & 849.45 & 536.47 & 4943.97 & 421.09 & 224.33 & 725.57 & 29.80 & 445.52 & 32.54 & 161.85 & 66.32 & 1002.66 & 90.87 & 2102.46 & 898.17 & 11041.32 \\\\\n", "\\bottomrule\n", "\\end{tabular}\n", "\n" ] } ], "source": [ "with pandas.option_context(\"max_colwidth\", 10000):\n", " print(prof.to_latex(float_format=\"%.2f\"))" ] }, { "cell_type": "markdown", "id": "c5e6656e-bd30-4496-b356-9a65f0156b72", "metadata": {}, "source": [ "## Figure of context\n", "\n", "Create a figure illustrating context." ] }, { "cell_type": "code", "execution_count": 73, "id": "6d980fd0-c41b-409e-ac54-0690616785fa", "metadata": {}, "outputs": [], "source": [ "tess = geopandas.read_parquet(\"../../urbangrammar_samba/spatial_signatures/morphometrics/cells/cells_76.pq\", columns=[\"hindex\", \"tessellation\"])" ] }, { "cell_type": "code", "execution_count": 93, "id": "6fc8673a-a0e9-4363-8a27-b679fc7755b4", "metadata": {}, "outputs": [], "source": [ "from shapely.geometry import Point\n", "import urbangrammar_graphics as ugg\n", "import contextily\n", "from matplotlib_scalebar.scalebar import ScaleBar\n", "import seaborn as sns\n", "import matplotlib.pyplot as plt\n" ] }, { "cell_type": "code", "execution_count": 79, "id": "f332552c-66c1-4d37-9e90-ddb55ecee1bb", "metadata": {}, "outputs": [], "source": [ "minx, maxx, miny, maxy = (357500, 360000, 173500, 176000)\n", "subset = tess.cx[minx:maxx, miny:maxy]\n", "central = subset[subset.intersects(Point((maxx+minx) / 2, (maxy+miny) / 2))]" ] }, { "cell_type": "code", "execution_count": 77, "id": "9f674d20-b782-4fb2-af53-4c78fda769c6", "metadata": {}, "outputs": [], "source": [ "import momepy\n", "\n", "W = momepy.sw_high(10, subset, ids=\"hindex\")" ] }, { "cell_type": "code", "execution_count": 82, "id": "bc712137-dc59-4fe1-a24e-33dcc098da75", "metadata": {}, "outputs": [], "source": [ "neighbors = subset[subset.hindex.isin(W.neighbors['c076e329053t0011'])]" ] }, { "cell_type": "code", "execution_count": 83, "id": "29689e7e-b8b9-4b8a-ac47-7caa0fa23d90", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/conda/lib/python3.9/site-packages/geopandas/geodataframe.py:1351: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " super().__setitem__(key, value)\n" ] } ], "source": [ "neighbors[\"distance\"] = neighbors.centroid.distance(central.centroid.iloc[0])" ] }, { "cell_type": "code", "execution_count": 94, "id": "a81e9dcc-84be-47da-b61c-f9fed5a97705", "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "ax = subset.clip(Point((maxx+minx) / 2, (maxy+miny) / 2).buffer(1200)).plot(figsize=(12, 12), facecolor=\"none\", edgecolor=\"w\", linewidth=1)\n", "central.plot(ax=ax, color=ugg.COLORS[4])\n", "neighbors.plot(\"distance\", ax=ax, cmap=sns.light_palette(ugg.COLORS[1], 256, as_cmap=True, reverse=True), edgecolor=\"w\", linewidth=.5, alpha=.8)\n", "\n", "# buildings.plot(ax=ax, color=ugg.COLORS[1], alpha=.1, zorder=-1)\n", "ax.set_axis_off()\n", "\n", "scalebar = ScaleBar(dx=1,\n", " color=\"w\",\n", " location='lower right',\n", " height_fraction=0.002,\n", " pad=.5,\n", " frameon=False,\n", " )\n", "ax.add_artist(scalebar)\n", "\n", "contextily.add_basemap(ax=ax, source=contextily.providers.Esri.WorldImagery, crs=subset.crs)\n", "plt.savefig(\"cell_context.png\", dpi=150, bbox_inches=\"tight\")" ] }, { "cell_type": "markdown", "id": "43cb2807-318d-4373-9640-967e2511a523", "metadata": {}, "source": [ "## Feature importance" ] }, { "cell_type": "code", "execution_count": 6, "id": "fe53a6d1-7310-407a-ba0c-298d672c60d5", "metadata": {}, "outputs": [], "source": [ "importances = pandas.read_csv(\"../../urbangrammar_samba/spatial_signatures/clustering_data/spsig_feature_importance.csv\", index_col=0)" ] }, { "cell_type": "code", "execution_count": 7, "id": "a03c5f46-fee1-475e-a754-0c7e5f8ba4ce", "metadata": {}, "outputs": [], "source": [ "importances.index = importances.index.map(renamer)" ] }, { "cell_type": "code", "execution_count": 8, "id": "9ed16a79-3442-42ab-ab0c-933133fec320", "metadata": {}, "outputs": [], "source": [ "importances.columns = [\"relative importance\"]" ] }, { "cell_type": "code", "execution_count": 24, "id": "418c4b00-bc9e-453a-be6f-e11bb7477c32", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\\begin{longtable}{lr}\n", "\\toprule\n", "{} & relative importance \\\\\n", "\\midrule\n", "\\endfirsthead\n", "\n", "\\toprule\n", "{} & relative importance \\\\\n", "\\midrule\n", "\\endhead\n", "\\midrule\n", "\\multicolumn{2}{r}{{Continued on next page}} \\\\\n", "\\midrule\n", "\\endfoot\n", "\n", "\\bottomrule\n", "\\endlastfoot\n", "covered area ratio of ETC (Q1) & 0.036944 \\\\\n", "covered area ratio of ETC (Q2) & 0.031717 \\\\\n", "perimeter-weighted neighbours of ETC (Q2) & 0.023476 \\\\\n", "mean inter-building distance (Q2) & 0.016662 \\\\\n", "area of ETC (Q3) & 0.016005 \\\\\n", "area covered by node-attached ETCs (Q3) & 0.014813 \\\\\n", "longest axis length of ETC (Q2) & 0.014501 \\\\\n", "weighted reached enclosures of ETC (Q1) & 0.014115 \\\\\n", "reached area by neighbouring segments (Q3) & 0.014000 \\\\\n", "reached area by neighbouring segments (Q1) & 0.013904 \\\\\n", "\\end{longtable}\n", "\n" ] } ], "source": [ "print(importances.head(10).to_latex(longtable=True))" ] }, { "cell_type": "code", "execution_count": 186, "id": "f04325b6-b3a6-4164-9360-8e55bab347fb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "relative importance 0.196135\n", "dtype: float64" ] }, "execution_count": 186, "metadata": {}, "output_type": "execute_result" } ], "source": [ "importances.head(10).sum()" ] }, { "cell_type": "code", "execution_count": 21, "id": "08be4769-f255-4c98-8c71-67dee2663a9f", "metadata": {}, "outputs": [], "source": [ "importances.to_excel(\"importances.xlsx\")" ] }, { "cell_type": "code", "execution_count": 13, "id": "6d5eb7a2-5c6f-4016-b907-f53ed3d6ea83", "metadata": {}, "outputs": [], "source": [ "type_imp = pandas.read_parquet(\"../../urbangrammar_samba/spatial_signatures/clustering_data/per_cluster_importance.pq\")" ] }, { "cell_type": "code", "execution_count": 14, "id": "524f9ce8-cd32-4928-ad75-1ee880dc658c", "metadata": {}, "outputs": [], "source": [ "classes = [\n", " 'cluster_4', 'cluster_0', 'cluster_6', 'cluster_1', 'cluster_21',\n", " 'cluster_7', 'cluster_3', 'cluster_5', 'cluster_90', 'cluster_20',\n", " 'cluster_8', 'cluster_22', 'cluster_92', 'cluster_94', 'cluster_91',\n", " 'cluster_95'\n", "]\n", "type_imp[classes] = type_imp[classes].apply(lambda x: x.map(renamer))" ] }, { "cell_type": "code", "execution_count": 15, "id": "9fc1de47-f49b-4c70-b843-c51f3ee5b4d8", "metadata": {}, "outputs": [], "source": [ "types = {\n", " 0: \"Countryside agriculture\",\n", " 1: \"Accessible suburbia\",\n", " 3: \"Open sprawl\",\n", " 4: \"Wild countryside\",\n", " 5: \"Warehouse/Park land\",\n", " 6: \"Gridded residential quarters\",\n", " 7: \"Urban buffer\",\n", " 8: \"Disconnected suburbia\",\n", " 20: \"Dense residential neighbourhoods\",\n", " 21: \"Connected residential neighbourhoods\",\n", " 22: \"Dense urban neighbourhoods\",\n", " 90: \"Local urbanity\",\n", " 91: \"Concentrated urbanity\",\n", " 92: \"Regional urbanity\",\n", " 94: \"Metropolitan urbanity\",\n", " 95: \"Hyper concentrated urbanity\",\n", " 93: \"outlier\",\n", " 96: \"outlier\",\n", " 97: \"outlier\",\n", " 98: \"outlier\",\n", "}" ] }, { "cell_type": "code", "execution_count": 16, "id": "1bd95206-6836-4a6c-b114-ddbb0a9cf2f8", "metadata": {}, "outputs": [], "source": [ "tups = []\n", "for c in type_imp.columns:\n", " if 'vals' in c:\n", " tups.append((types[int(c[8:-5])], 'rel. importance'))\n", " else:\n", " tups.append((types[int(c[8:])], 'name'))" ] }, { "cell_type": "code", "execution_count": 17, "id": "54d8013b-082c-4f12-8280-3e8286f45499", "metadata": {}, "outputs": [], "source": [ "type_imp.columns = pandas.MultiIndex.from_tuples(tups)" ] }, { "cell_type": "code", "execution_count": 40, "id": "1a947f98-fb51-4f54-99fd-a42ba752d567", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\\begin{longtable}{llrlrlrlrlrlrlrlrlrlrlrlrlrlrlrlr}\n", "\\toprule\n", "{} & \\multicolumn{2}{l}{Wild countryside} & \\multicolumn{2}{l}{Countryside agriculture} & \\multicolumn{2}{l}{Gridded residential quarters} & \\multicolumn{2}{l}{Accessible suburbia} & \\multicolumn{2}{l}{Connected residential neighbourhoods} & \\multicolumn{2}{l}{Urban buffer} & \\multicolumn{2}{l}{Open sprawl} & \\multicolumn{2}{l}{Warehouse/Park land} & \\multicolumn{2}{l}{Local urbanity} & \\multicolumn{2}{l}{Dense residential neighbourhoods} & \\multicolumn{2}{l}{Disconnected suburbia} & \\multicolumn{2}{l}{Dense urban neighbourhoods} & \\multicolumn{2}{l}{Regional urbanity} & \\multicolumn{2}{l}{Metropolitan urbanity} & \\multicolumn{2}{l}{Concentrated urbanity} & \\multicolumn{2}{l}{Hyper concentrated urbanity} \\\\\n", "{} & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance \\\\\n", "\\midrule\n", "\\endfirsthead\n", "\n", "\\toprule\n", "{} & \\multicolumn{2}{l}{Wild countryside} & \\multicolumn{2}{l}{Countryside agriculture} & \\multicolumn{2}{l}{Gridded residential quarters} & \\multicolumn{2}{l}{Accessible suburbia} & \\multicolumn{2}{l}{Connected residential neighbourhoods} & \\multicolumn{2}{l}{Urban buffer} & \\multicolumn{2}{l}{Open sprawl} & \\multicolumn{2}{l}{Warehouse/Park land} & \\multicolumn{2}{l}{Local urbanity} & \\multicolumn{2}{l}{Dense residential neighbourhoods} & \\multicolumn{2}{l}{Disconnected suburbia} & \\multicolumn{2}{l}{Dense urban neighbourhoods} & \\multicolumn{2}{l}{Regional urbanity} & \\multicolumn{2}{l}{Metropolitan urbanity} & \\multicolumn{2}{l}{Concentrated urbanity} & \\multicolumn{2}{l}{Hyper concentrated urbanity} \\\\\n", "{} & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance & name & rel. importance \\\\\n", "\\midrule\n", "\\endhead\n", "\\midrule\n", "\\multicolumn{33}{r}{{Continued on next page}} \\\\\n", "\\midrule\n", "\\endfoot\n", "\n", "\\bottomrule\n", "\\endlastfoot\n", "0 & longest axis length of ETC (Q1) & 0.197 & covered area ratio of ETC (Q1) & 0.154 & local closeness of street network (Q3) & 0.095 & weighted reached enclosures of ETC (Q3) & 0.064 & cell alignment of building (Q1) & 0.028 & area covered by neighbouring cells (Q2) & 0.072 & reached area by local street network (Q1) & 0.058 & elongation of building (Q1) & 0.034 & perimeter of building (Q2) & 0.101 & centroid - corner mean distance of building (Q2) & 0.037 & local proportion of cul-de-sacs of street netw... & 0.024 & perimeter of building (Q2) & 0.107 & centroid - corner distance deviation of buildi... & 0.115 & equivalent rectangular index of building (Q2) & 0.111 & area of building (Q1) & 0.128 & covered area ratio of ETC (Q2) & 0.154 \\\\\n", "1 & covered area ratio of ETC (Q2) & 0.151 & covered area ratio of ETC (Q2) & 0.144 & local closeness of street network (Q2) & 0.046 & reached ETCs by tessellation contiguity (Q3) & 0.062 & local proportion of 4-way intersections of str... & 0.023 & covered area ratio of ETC (Q2) & 0.050 & reached area by neighbouring segments (Q1) & 0.034 & centroid - corner mean distance of building (Q3) & 0.028 & equivalent rectangular index of building (Q1) & 0.094 & centroid - corner mean distance of building (Q3) & 0.030 & local meshedness of street network (Q3) & 0.021 & centroid - corner mean distance of building (Q2) & 0.084 & centroid - corner mean distance of building (Q2) & 0.088 & centroid - corner mean distance of building (Q2) & 0.087 & Workplace population [Distribution, hotels and... & 0.100 & Workplace population [Manufacturing] (Q2) & 0.144 \\\\\n", "2 & covered area ratio of ETC (Q1) & 0.146 & mean inter-building distance (Q2) & 0.079 & perimeter of enclosure (Q1) & 0.044 & reached area by tessellation contiguity (Q2) & 0.048 & cell alignment of building (Q2) & 0.017 & mean distance to neighbouring nodes of street ... & 0.049 & area covered by node-attached ETCs (Q2) & 0.024 & elongation of building (Q2) & 0.025 & centroid - corner mean distance of building (Q2) & 0.082 & area of building (Q3) & 0.029 & local meshedness of street network (Q2) & 0.021 & perimeter of building (Q3) & 0.082 & squareness of building (Q3) & 0.082 & centroid - corner distance deviation of buildi... & 0.081 & Workplace population [Financial, real estate, ... & 0.077 & Workplace population [Other] (Q2) & 0.102 \\\\\n", "3 & area of ETC (Q2) & 0.096 & area of ETC (Q2) & 0.073 & area of enclosure (Q2) & 0.037 & area of ETC (Q2) & 0.045 & area of enclosure (Q2) & 0.017 & covered area ratio of ETC (Q1) & 0.046 & covered area ratio of ETC (Q2) & 0.022 & circular compactness of building (Q1) & 0.020 & squareness of building (Q3) & 0.054 & Population (Q3) & 0.028 & equivalent rectangular index of building (Q1) & 0.020 & area of building (Q2) & 0.066 & Workplace population [Financial, real estate, ... & 0.071 & corners of building (Q2) & 0.072 & Workplace population [Other] (Q2) & 0.076 & Workplace population [Distribution, hotels and... & 0.082 \\\\\n", "4 & perimeter-weighted neighbours of ETC (Q3) & 0.075 & area covered by node-attached ETCs (Q2) & 0.067 & local closeness of street network (Q1) & 0.037 & reached ETCs by neighbouring segments (Q1) & 0.037 & orientation of ETC (Q2) & 0.017 & reached area by neighbouring segments (Q1) & 0.038 & local node density of street network (Q3) & 0.019 & centroid - corner distance deviation of buildi... & 0.018 & area of building (Q2) & 0.051 & perimeter of building (Q2) & 0.026 & circular compactness of building (Q1) & 0.019 & Population (Q3) & 0.040 & perimeter of building (Q2) & 0.065 & Workplace population [Financial, real estate, ... & 0.060 & Workplace population [Distribution, hotels and... & 0.071 & covered area ratio of ETC (Q1) & 0.079 \\\\\n", "5 & reached area by neighbouring segments (Q1) & 0.049 & mean distance to neighbouring nodes of street ... & 0.066 & weighted reached enclosures of ETC (Q3) & 0.032 & reached ETCs by neighbouring segments (Q2) & 0.030 & equivalent rectangular index of building (Q1) & 0.016 & circular compactness of ETC (Q2) & 0.035 & reached area by neighbouring segments (Q2) & 0.018 & perimeter of building (Q3) & 0.017 & centroid - corner distance deviation of buildi... & 0.045 & area of building (Q2) & 0.023 & Population (Q1) & 0.018 & squareness of building (Q3) & 0.039 & perimeter of building (Q3) & 0.058 & Workplace population [Distribution, hotels and... & 0.051 & Workplace population [Financial, real estate, ... & 0.060 & Workplace population [Manufacturing] (Q3) & 0.075 \\\\\n", "6 & reached area by tessellation contiguity (Q1) & 0.018 & reached area by neighbouring segments (Q1) & 0.063 & local proportion of 4-way intersections of str... & 0.021 & reached ETCs by local street network (Q2) & 0.026 & local proportion of 4-way intersections of str... & 0.014 & area covered by neighbouring cells (Q1) & 0.033 & covered area ratio of ETC (Q1) & 0.018 & width of street profile (Q2) & 0.017 & Workplace population [Financial, real estate, ... & 0.044 & perimeter of enclosure (Q1) & 0.021 & elongation of building (Q2) & 0.016 & centroid - corner distance deviation of buildi... & 0.034 & area of building (Q2) & 0.050 & perimeter of building (Q2) & 0.047 & Workplace population [Manufacturing] (Q2) & 0.055 & centroid - corner mean distance of building (Q2) & 0.070 \\\\\n", "7 & area of ETC (Q3) & 0.016 & Land cover [Discontinuous urban fabric] (Q2) & 0.055 & area covered by node-attached ETCs (Q1) & 0.019 & perimeter-weighted neighbours of ETC (Q1) & 0.024 & perimeter of enclosure (Q1) & 0.014 & buildings per meter of street segment (Q2) & 0.032 & area of enclosure (Q2) & 0.017 & circular compactness of building (Q2) & 0.016 & Workplace population [Distribution, hotels and... & 0.035 & orientation of enclosure (Q2) & 0.018 & reached area by neighbouring segments (Q2) & 0.016 & Workplace population [Financial, real estate, ... & 0.029 & Workplace population [Distribution, hotels and... & 0.049 & squareness of building (Q3) & 0.039 & perimeter of building (Q2) & 0.047 & perimeter of building (Q2) & 0.055 \\\\\n", "8 & mean distance between neighbouring buildings (Q2) & 0.015 & perimeter-weighted neighbours of ETC (Q2) & 0.022 & area covered by node-attached ETCs (Q2) & 0.018 & reached area by tessellation contiguity (Q1) & 0.023 & local proportion of cul-de-sacs of street netw... & 0.014 & reached area by tessellation contiguity (Q1) & 0.030 & compactness-weighted axis of enclosure (Q3) & 0.017 & reached area by tessellation contiguity (Q1) & 0.016 & perimeter of building (Q3) & 0.034 & perimeter of building (Q3) & 0.017 & area covered by edge-attached ETCs (Q3) & 0.016 & equivalent rectangular index of building (Q1) & 0.018 & corners of building (Q3) & 0.029 & Workplace population [Financial, real estate, ... & 0.030 & centroid - corner mean distance of building (Q2) & 0.045 & openness of street profile (Q2) & 0.031 \\\\\n", "9 & mean inter-building distance (Q2) & 0.011 & longest axis length of ETC (Q2) & 0.021 & weighted reached enclosures of ETC (Q2) & 0.017 & reached ETCs by local street network (Q1) & 0.020 & orientation of enclosure (Q1) & 0.013 & area covered by node-attached ETCs (Q3) & 0.028 & area of ETC (Q2) & 0.016 & perimeter of building (Q2) & 0.015 & area of building (Q1) & 0.023 & area of enclosure (Q1) & 0.015 & circular compactness of building (Q2) & 0.015 & Workplace population [Other] (Q2) & 0.016 & centroid - corner distance deviation of buildi... & 0.021 & centroid - corner mean distance of building (Q1) & 0.019 & Land cover [Non-irrigated arable land] (Q1) & 0.026 & NDVI (Q3) & 0.027 \\\\\n", "\\end{longtable}\n", "\n" ] } ], "source": [ "print(type_imp.iloc[:10].round(3).to_latex(longtable=True))" ] }, { "cell_type": "code", "execution_count": 42, "id": "dd09cd43-e31e-4246-8eaf-9209d751e565", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
0123456789
Wild countrysidenamelongest axis length of ETC (Q1)covered area ratio of ETC (Q2)covered area ratio of ETC (Q1)area of ETC (Q2)perimeter-weighted neighbours of ETC (Q3)reached area by neighbouring segments (Q1)reached area by tessellation contiguity (Q1)area of ETC (Q3)mean distance between neighbouring buildings (Q2)mean inter-building distance (Q2)
rel. importance0.1970.1510.1460.0960.0750.0490.0180.0160.0150.011
Countryside agriculturenamecovered area ratio of ETC (Q1)covered area ratio of ETC (Q2)mean inter-building distance (Q2)area of ETC (Q2)area covered by node-attached ETCs (Q2)mean distance to neighbouring nodes of street ...reached area by neighbouring segments (Q1)Land cover [Discontinuous urban fabric] (Q2)perimeter-weighted neighbours of ETC (Q2)longest axis length of ETC (Q2)
rel. importance0.1540.1440.0790.0730.0670.0660.0630.0550.0220.021
Gridded residential quartersnamelocal closeness of street network (Q3)local closeness of street network (Q2)perimeter of enclosure (Q1)area of enclosure (Q2)local closeness of street network (Q1)weighted reached enclosures of ETC (Q3)local proportion of 4-way intersections of str...area covered by node-attached ETCs (Q1)area covered by node-attached ETCs (Q2)weighted reached enclosures of ETC (Q2)
rel. importance0.0950.0460.0440.0370.0370.0320.0210.0190.0180.017
Accessible suburbianameweighted reached enclosures of ETC (Q3)reached ETCs by tessellation contiguity (Q3)reached area by tessellation contiguity (Q2)area of ETC (Q2)reached ETCs by neighbouring segments (Q1)reached ETCs by neighbouring segments (Q2)reached ETCs by local street network (Q2)perimeter-weighted neighbours of ETC (Q1)reached area by tessellation contiguity (Q1)reached ETCs by local street network (Q1)
rel. importance0.0640.0620.0480.0450.0370.030.0260.0240.0230.02
Connected residential neighbourhoodsnamecell alignment of building (Q1)local proportion of 4-way intersections of str...cell alignment of building (Q2)area of enclosure (Q2)orientation of ETC (Q2)equivalent rectangular index of building (Q1)local proportion of 4-way intersections of str...perimeter of enclosure (Q1)local proportion of cul-de-sacs of street netw...orientation of enclosure (Q1)
rel. importance0.0280.0230.0170.0170.0170.0160.0140.0140.0140.013
Urban buffernamearea covered by neighbouring cells (Q2)covered area ratio of ETC (Q2)mean distance to neighbouring nodes of street ...covered area ratio of ETC (Q1)reached area by neighbouring segments (Q1)circular compactness of ETC (Q2)area covered by neighbouring cells (Q1)buildings per meter of street segment (Q2)reached area by tessellation contiguity (Q1)area covered by node-attached ETCs (Q3)
rel. importance0.0720.050.0490.0460.0380.0350.0330.0320.030.028
Open sprawlnamereached area by local street network (Q1)reached area by neighbouring segments (Q1)area covered by node-attached ETCs (Q2)covered area ratio of ETC (Q2)local node density of street network (Q3)reached area by neighbouring segments (Q2)covered area ratio of ETC (Q1)area of enclosure (Q2)compactness-weighted axis of enclosure (Q3)area of ETC (Q2)
rel. importance0.0580.0340.0240.0220.0190.0180.0180.0170.0170.016
Warehouse/Park landnameelongation of building (Q1)centroid - corner mean distance of building (Q3)elongation of building (Q2)circular compactness of building (Q1)centroid - corner distance deviation of buildi...perimeter of building (Q3)width of street profile (Q2)circular compactness of building (Q2)reached area by tessellation contiguity (Q1)perimeter of building (Q2)
rel. importance0.0340.0280.0250.020.0180.0170.0170.0160.0160.015
Local urbanitynameperimeter of building (Q2)equivalent rectangular index of building (Q1)centroid - corner mean distance of building (Q2)squareness of building (Q3)area of building (Q2)centroid - corner distance deviation of buildi...Workplace population [Financial, real estate, ...Workplace population [Distribution, hotels and...perimeter of building (Q3)area of building (Q1)
rel. importance0.1010.0940.0820.0540.0510.0450.0440.0350.0340.023
Dense residential neighbourhoodsnamecentroid - corner mean distance of building (Q2)centroid - corner mean distance of building (Q3)area of building (Q3)Population (Q3)perimeter of building (Q2)area of building (Q2)perimeter of enclosure (Q1)orientation of enclosure (Q2)perimeter of building (Q3)area of enclosure (Q1)
rel. importance0.0370.030.0290.0280.0260.0230.0210.0180.0170.015
Disconnected suburbianamelocal proportion of cul-de-sacs of street netw...local meshedness of street network (Q3)local meshedness of street network (Q2)equivalent rectangular index of building (Q1)circular compactness of building (Q1)Population (Q1)elongation of building (Q2)reached area by neighbouring segments (Q2)area covered by edge-attached ETCs (Q3)circular compactness of building (Q2)
rel. importance0.0240.0210.0210.020.0190.0180.0160.0160.0160.015
Dense urban neighbourhoodsnameperimeter of building (Q2)centroid - corner mean distance of building (Q2)perimeter of building (Q3)area of building (Q2)Population (Q3)squareness of building (Q3)centroid - corner distance deviation of buildi...Workplace population [Financial, real estate, ...equivalent rectangular index of building (Q1)Workplace population [Other] (Q2)
rel. importance0.1070.0840.0820.0660.040.0390.0340.0290.0180.016
Regional urbanitynamecentroid - corner distance deviation of buildi...centroid - corner mean distance of building (Q2)squareness of building (Q3)Workplace population [Financial, real estate, ...perimeter of building (Q2)perimeter of building (Q3)area of building (Q2)Workplace population [Distribution, hotels and...corners of building (Q3)centroid - corner distance deviation of buildi...
rel. importance0.1150.0880.0820.0710.0650.0580.050.0490.0290.021
Metropolitan urbanitynameequivalent rectangular index of building (Q2)centroid - corner mean distance of building (Q2)centroid - corner distance deviation of buildi...corners of building (Q2)Workplace population [Financial, real estate, ...Workplace population [Distribution, hotels and...perimeter of building (Q2)squareness of building (Q3)Workplace population [Financial, real estate, ...centroid - corner mean distance of building (Q1)
rel. importance0.1110.0870.0810.0720.060.0510.0470.0390.030.019
Concentrated urbanitynamearea of building (Q1)Workplace population [Distribution, hotels and...Workplace population [Financial, real estate, ...Workplace population [Other] (Q2)Workplace population [Distribution, hotels and...Workplace population [Financial, real estate, ...Workplace population [Manufacturing] (Q2)perimeter of building (Q2)centroid - corner mean distance of building (Q2)Land cover [Non-irrigated arable land] (Q1)
rel. importance0.1280.10.0770.0760.0710.060.0550.0470.0450.026
Hyper concentrated urbanitynamecovered area ratio of ETC (Q2)Workplace population [Manufacturing] (Q2)Workplace population [Other] (Q2)Workplace population [Distribution, hotels and...covered area ratio of ETC (Q1)Workplace population [Manufacturing] (Q3)centroid - corner mean distance of building (Q2)perimeter of building (Q2)openness of street profile (Q2)NDVI (Q3)
rel. importance0.1540.1440.1020.0820.0790.0750.070.0550.0310.027
\n", "
" ], "text/plain": [ " 0 \\\n", "Wild countryside name longest axis length of ETC (Q1) \n", " rel. importance 0.197 \n", "Countryside agriculture name covered area ratio of ETC (Q1) \n", " rel. importance 0.154 \n", "Gridded residential quarters name local closeness of street network (Q3) \n", " rel. importance 0.095 \n", "Accessible suburbia name weighted reached enclosures of ETC (Q3) \n", " rel. importance 0.064 \n", "Connected residential neighbourhoods name cell alignment of building (Q1) \n", " rel. importance 0.028 \n", "Urban buffer name area covered by neighbouring cells (Q2) \n", " rel. importance 0.072 \n", "Open sprawl name reached area by local street network (Q1) \n", " rel. importance 0.058 \n", "Warehouse/Park land name elongation of building (Q1) \n", " rel. importance 0.034 \n", "Local urbanity name perimeter of building (Q2) \n", " rel. importance 0.101 \n", "Dense residential neighbourhoods name centroid - corner mean distance of building (Q2) \n", " rel. importance 0.037 \n", "Disconnected suburbia name local proportion of cul-de-sacs of street netw... \n", " rel. importance 0.024 \n", "Dense urban neighbourhoods name perimeter of building (Q2) \n", " rel. importance 0.107 \n", "Regional urbanity name centroid - corner distance deviation of buildi... \n", " rel. importance 0.115 \n", "Metropolitan urbanity name equivalent rectangular index of building (Q2) \n", " rel. importance 0.111 \n", "Concentrated urbanity name area of building (Q1) \n", " rel. importance 0.128 \n", "Hyper concentrated urbanity name covered area ratio of ETC (Q2) \n", " rel. importance 0.154 \n", "\n", " 1 \\\n", "Wild countryside name covered area ratio of ETC (Q2) \n", " rel. importance 0.151 \n", "Countryside agriculture name covered area ratio of ETC (Q2) \n", " rel. importance 0.144 \n", "Gridded residential quarters name local closeness of street network (Q2) \n", " rel. importance 0.046 \n", "Accessible suburbia name reached ETCs by tessellation contiguity (Q3) \n", " rel. importance 0.062 \n", "Connected residential neighbourhoods name local proportion of 4-way intersections of str... \n", " rel. importance 0.023 \n", "Urban buffer name covered area ratio of ETC (Q2) \n", " rel. importance 0.05 \n", "Open sprawl name reached area by neighbouring segments (Q1) \n", " rel. importance 0.034 \n", "Warehouse/Park land name centroid - corner mean distance of building (Q3) \n", " rel. importance 0.028 \n", "Local urbanity name equivalent rectangular index of building (Q1) \n", " rel. importance 0.094 \n", "Dense residential neighbourhoods name centroid - corner mean distance of building (Q3) \n", " rel. importance 0.03 \n", "Disconnected suburbia name local meshedness of street network (Q3) \n", " rel. importance 0.021 \n", "Dense urban neighbourhoods name centroid - corner mean distance of building (Q2) \n", " rel. importance 0.084 \n", "Regional urbanity name centroid - corner mean distance of building (Q2) \n", " rel. importance 0.088 \n", "Metropolitan urbanity name centroid - corner mean distance of building (Q2) \n", " rel. importance 0.087 \n", "Concentrated urbanity name Workplace population [Distribution, hotels and... \n", " rel. importance 0.1 \n", "Hyper concentrated urbanity name Workplace population [Manufacturing] (Q2) \n", " rel. importance 0.144 \n", "\n", " 2 \\\n", "Wild countryside name covered area ratio of ETC (Q1) \n", " rel. importance 0.146 \n", "Countryside agriculture name mean inter-building distance (Q2) \n", " rel. importance 0.079 \n", "Gridded residential quarters name perimeter of enclosure (Q1) \n", " rel. importance 0.044 \n", "Accessible suburbia name reached area by tessellation contiguity (Q2) \n", " rel. importance 0.048 \n", "Connected residential neighbourhoods name cell alignment of building (Q2) \n", " rel. importance 0.017 \n", "Urban buffer name mean distance to neighbouring nodes of street ... \n", " rel. importance 0.049 \n", "Open sprawl name area covered by node-attached ETCs (Q2) \n", " rel. importance 0.024 \n", "Warehouse/Park land name elongation of building (Q2) \n", " rel. importance 0.025 \n", "Local urbanity name centroid - corner mean distance of building (Q2) \n", " rel. importance 0.082 \n", "Dense residential neighbourhoods name area of building (Q3) \n", " rel. importance 0.029 \n", "Disconnected suburbia name local meshedness of street network (Q2) \n", " rel. importance 0.021 \n", "Dense urban neighbourhoods name perimeter of building (Q3) \n", " rel. importance 0.082 \n", "Regional urbanity name squareness of building (Q3) \n", " rel. importance 0.082 \n", "Metropolitan urbanity name centroid - corner distance deviation of buildi... \n", " rel. importance 0.081 \n", "Concentrated urbanity name Workplace population [Financial, real estate, ... \n", " rel. importance 0.077 \n", "Hyper concentrated urbanity name Workplace population [Other] (Q2) \n", " rel. importance 0.102 \n", "\n", " 3 \\\n", "Wild countryside name area of ETC (Q2) \n", " rel. importance 0.096 \n", "Countryside agriculture name area of ETC (Q2) \n", " rel. importance 0.073 \n", "Gridded residential quarters name area of enclosure (Q2) \n", " rel. importance 0.037 \n", "Accessible suburbia name area of ETC (Q2) \n", " rel. importance 0.045 \n", "Connected residential neighbourhoods name area of enclosure (Q2) \n", " rel. importance 0.017 \n", "Urban buffer name covered area ratio of ETC (Q1) \n", " rel. importance 0.046 \n", "Open sprawl name covered area ratio of ETC (Q2) \n", " rel. importance 0.022 \n", "Warehouse/Park land name circular compactness of building (Q1) \n", " rel. importance 0.02 \n", "Local urbanity name squareness of building (Q3) \n", " rel. importance 0.054 \n", "Dense residential neighbourhoods name Population (Q3) \n", " rel. importance 0.028 \n", "Disconnected suburbia name equivalent rectangular index of building (Q1) \n", " rel. importance 0.02 \n", "Dense urban neighbourhoods name area of building (Q2) \n", " rel. importance 0.066 \n", "Regional urbanity name Workplace population [Financial, real estate, ... \n", " rel. importance 0.071 \n", "Metropolitan urbanity name corners of building (Q2) \n", " rel. importance 0.072 \n", "Concentrated urbanity name Workplace population [Other] (Q2) \n", " rel. importance 0.076 \n", "Hyper concentrated urbanity name Workplace population [Distribution, hotels and... \n", " rel. importance 0.082 \n", "\n", " 4 \\\n", "Wild countryside name perimeter-weighted neighbours of ETC (Q3) \n", " rel. importance 0.075 \n", "Countryside agriculture name area covered by node-attached ETCs (Q2) \n", " rel. importance 0.067 \n", "Gridded residential quarters name local closeness of street network (Q1) \n", " rel. importance 0.037 \n", "Accessible suburbia name reached ETCs by neighbouring segments (Q1) \n", " rel. importance 0.037 \n", "Connected residential neighbourhoods name orientation of ETC (Q2) \n", " rel. importance 0.017 \n", "Urban buffer name reached area by neighbouring segments (Q1) \n", " rel. importance 0.038 \n", "Open sprawl name local node density of street network (Q3) \n", " rel. importance 0.019 \n", "Warehouse/Park land name centroid - corner distance deviation of buildi... \n", " rel. importance 0.018 \n", "Local urbanity name area of building (Q2) \n", " rel. importance 0.051 \n", "Dense residential neighbourhoods name perimeter of building (Q2) \n", " rel. importance 0.026 \n", "Disconnected suburbia name circular compactness of building (Q1) \n", " rel. importance 0.019 \n", "Dense urban neighbourhoods name Population (Q3) \n", " rel. importance 0.04 \n", "Regional urbanity name perimeter of building (Q2) \n", " rel. importance 0.065 \n", "Metropolitan urbanity name Workplace population [Financial, real estate, ... \n", " rel. importance 0.06 \n", "Concentrated urbanity name Workplace population [Distribution, hotels and... \n", " rel. importance 0.071 \n", "Hyper concentrated urbanity name covered area ratio of ETC (Q1) \n", " rel. importance 0.079 \n", "\n", " 5 \\\n", "Wild countryside name reached area by neighbouring segments (Q1) \n", " rel. importance 0.049 \n", "Countryside agriculture name mean distance to neighbouring nodes of street ... \n", " rel. importance 0.066 \n", "Gridded residential quarters name weighted reached enclosures of ETC (Q3) \n", " rel. importance 0.032 \n", "Accessible suburbia name reached ETCs by neighbouring segments (Q2) \n", " rel. importance 0.03 \n", "Connected residential neighbourhoods name equivalent rectangular index of building (Q1) \n", " rel. importance 0.016 \n", "Urban buffer name circular compactness of ETC (Q2) \n", " rel. importance 0.035 \n", "Open sprawl name reached area by neighbouring segments (Q2) \n", " rel. importance 0.018 \n", "Warehouse/Park land name perimeter of building (Q3) \n", " rel. importance 0.017 \n", "Local urbanity name centroid - corner distance deviation of buildi... \n", " rel. importance 0.045 \n", "Dense residential neighbourhoods name area of building (Q2) \n", " rel. importance 0.023 \n", "Disconnected suburbia name Population (Q1) \n", " rel. importance 0.018 \n", "Dense urban neighbourhoods name squareness of building (Q3) \n", " rel. importance 0.039 \n", "Regional urbanity name perimeter of building (Q3) \n", " rel. importance 0.058 \n", "Metropolitan urbanity name Workplace population [Distribution, hotels and... \n", " rel. importance 0.051 \n", "Concentrated urbanity name Workplace population [Financial, real estate, ... \n", " rel. importance 0.06 \n", "Hyper concentrated urbanity name Workplace population [Manufacturing] (Q3) \n", " rel. importance 0.075 \n", "\n", " 6 \\\n", "Wild countryside name reached area by tessellation contiguity (Q1) \n", " rel. importance 0.018 \n", "Countryside agriculture name reached area by neighbouring segments (Q1) \n", " rel. importance 0.063 \n", "Gridded residential quarters name local proportion of 4-way intersections of str... \n", " rel. importance 0.021 \n", "Accessible suburbia name reached ETCs by local street network (Q2) \n", " rel. importance 0.026 \n", "Connected residential neighbourhoods name local proportion of 4-way intersections of str... \n", " rel. importance 0.014 \n", "Urban buffer name area covered by neighbouring cells (Q1) \n", " rel. importance 0.033 \n", "Open sprawl name covered area ratio of ETC (Q1) \n", " rel. importance 0.018 \n", "Warehouse/Park land name width of street profile (Q2) \n", " rel. importance 0.017 \n", "Local urbanity name Workplace population [Financial, real estate, ... \n", " rel. importance 0.044 \n", "Dense residential neighbourhoods name perimeter of enclosure (Q1) \n", " rel. importance 0.021 \n", "Disconnected suburbia name elongation of building (Q2) \n", " rel. importance 0.016 \n", "Dense urban neighbourhoods name centroid - corner distance deviation of buildi... \n", " rel. importance 0.034 \n", "Regional urbanity name area of building (Q2) \n", " rel. importance 0.05 \n", "Metropolitan urbanity name perimeter of building (Q2) \n", " rel. importance 0.047 \n", "Concentrated urbanity name Workplace population [Manufacturing] (Q2) \n", " rel. importance 0.055 \n", "Hyper concentrated urbanity name centroid - corner mean distance of building (Q2) \n", " rel. importance 0.07 \n", "\n", " 7 \\\n", "Wild countryside name area of ETC (Q3) \n", " rel. importance 0.016 \n", "Countryside agriculture name Land cover [Discontinuous urban fabric] (Q2) \n", " rel. importance 0.055 \n", "Gridded residential quarters name area covered by node-attached ETCs (Q1) \n", " rel. importance 0.019 \n", "Accessible suburbia name perimeter-weighted neighbours of ETC (Q1) \n", " rel. importance 0.024 \n", "Connected residential neighbourhoods name perimeter of enclosure (Q1) \n", " rel. importance 0.014 \n", "Urban buffer name buildings per meter of street segment (Q2) \n", " rel. importance 0.032 \n", "Open sprawl name area of enclosure (Q2) \n", " rel. importance 0.017 \n", "Warehouse/Park land name circular compactness of building (Q2) \n", " rel. importance 0.016 \n", "Local urbanity name Workplace population [Distribution, hotels and... \n", " rel. importance 0.035 \n", "Dense residential neighbourhoods name orientation of enclosure (Q2) \n", " rel. importance 0.018 \n", "Disconnected suburbia name reached area by neighbouring segments (Q2) \n", " rel. importance 0.016 \n", "Dense urban neighbourhoods name Workplace population [Financial, real estate, ... \n", " rel. importance 0.029 \n", "Regional urbanity name Workplace population [Distribution, hotels and... \n", " rel. importance 0.049 \n", "Metropolitan urbanity name squareness of building (Q3) \n", " rel. importance 0.039 \n", "Concentrated urbanity name perimeter of building (Q2) \n", " rel. importance 0.047 \n", "Hyper concentrated urbanity name perimeter of building (Q2) \n", " rel. importance 0.055 \n", "\n", " 8 \\\n", "Wild countryside name mean distance between neighbouring buildings (Q2) \n", " rel. importance 0.015 \n", "Countryside agriculture name perimeter-weighted neighbours of ETC (Q2) \n", " rel. importance 0.022 \n", "Gridded residential quarters name area covered by node-attached ETCs (Q2) \n", " rel. importance 0.018 \n", "Accessible suburbia name reached area by tessellation contiguity (Q1) \n", " rel. importance 0.023 \n", "Connected residential neighbourhoods name local proportion of cul-de-sacs of street netw... \n", " rel. importance 0.014 \n", "Urban buffer name reached area by tessellation contiguity (Q1) \n", " rel. importance 0.03 \n", "Open sprawl name compactness-weighted axis of enclosure (Q3) \n", " rel. importance 0.017 \n", "Warehouse/Park land name reached area by tessellation contiguity (Q1) \n", " rel. importance 0.016 \n", "Local urbanity name perimeter of building (Q3) \n", " rel. importance 0.034 \n", "Dense residential neighbourhoods name perimeter of building (Q3) \n", " rel. importance 0.017 \n", "Disconnected suburbia name area covered by edge-attached ETCs (Q3) \n", " rel. importance 0.016 \n", "Dense urban neighbourhoods name equivalent rectangular index of building (Q1) \n", " rel. importance 0.018 \n", "Regional urbanity name corners of building (Q3) \n", " rel. importance 0.029 \n", "Metropolitan urbanity name Workplace population [Financial, real estate, ... \n", " rel. importance 0.03 \n", "Concentrated urbanity name centroid - corner mean distance of building (Q2) \n", " rel. importance 0.045 \n", "Hyper concentrated urbanity name openness of street profile (Q2) \n", " rel. importance 0.031 \n", "\n", " 9 \n", "Wild countryside name mean inter-building distance (Q2) \n", " rel. importance 0.011 \n", "Countryside agriculture name longest axis length of ETC (Q2) \n", " rel. importance 0.021 \n", "Gridded residential quarters name weighted reached enclosures of ETC (Q2) \n", " rel. importance 0.017 \n", "Accessible suburbia name reached ETCs by local street network (Q1) \n", " rel. importance 0.02 \n", "Connected residential neighbourhoods name orientation of enclosure (Q1) \n", " rel. importance 0.013 \n", "Urban buffer name area covered by node-attached ETCs (Q3) \n", " rel. importance 0.028 \n", "Open sprawl name area of ETC (Q2) \n", " rel. importance 0.016 \n", "Warehouse/Park land name perimeter of building (Q2) \n", " rel. importance 0.015 \n", "Local urbanity name area of building (Q1) \n", " rel. importance 0.023 \n", "Dense residential neighbourhoods name area of enclosure (Q1) \n", " rel. importance 0.015 \n", "Disconnected suburbia name circular compactness of building (Q2) \n", " rel. importance 0.015 \n", "Dense urban neighbourhoods name Workplace population [Other] (Q2) \n", " rel. importance 0.016 \n", "Regional urbanity name centroid - corner distance deviation of buildi... \n", " rel. importance 0.021 \n", "Metropolitan urbanity name centroid - corner mean distance of building (Q1) \n", " rel. importance 0.019 \n", "Concentrated urbanity name Land cover [Non-irrigated arable land] (Q1) \n", " rel. importance 0.026 \n", "Hyper concentrated urbanity name NDVI (Q3) \n", " rel. importance 0.027 " ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "type_imp.iloc[:10].round(3).T" ] }, { "cell_type": "code", "execution_count": 20, "id": "ffdc5388-57d5-4691-8e54-091497774d2d", "metadata": {}, "outputs": [], "source": [ "type_imp.to_excel(\"importances_type.xlsx\")" ] }, { "cell_type": "code", "execution_count": null, "id": "ba729918-fbdf-4c98-8f08-3f50a89e5460", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.0" } }, "nbformat": 4, "nbformat_minor": 5 }