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Generate enclosed tessellation¶

This notebook generates enclosed tessellation for the whole Great Britain within enclosures.

Note: An algorithm to generate enclosed tessellation has been implemented in momepy 0.4.0 within momepy.Tessellation.

Start dask¶

Enclosed tessellation is a dask-based parallelised algorithm, so let’s start a client first.

from dask.distributed import Client

client = Client()
client

Client

Scheduler: tcp://127.0.0.1:38895
Dashboard: http://127.0.0.1:8787/status

Cluster

Workers: 7
Cores: 28
Memory: 84.28 GB

Function for enclosed_tessellation is loaded from tessellation.py in the same directory. In the future, it will be part of momepy.

import time

import numpy as np
import geopandas as gpd
from tqdm.notebook import tqdm

from tessellation import enclosed_tessellation

The function loads pre-chunked parquet files of buildings and enclosures, generates enclosed tessellation as saves it to another parquet file.

%%time
for chunk_id in tqdm(range(103), total=103):
    blg = gpd.read_parquet(f'../../urbangrammar_samba/spatial_signatures/buildings/blg_{chunk_id}.pq')
    enclosures = gpd.read_parquet(f'../../urbangrammar_samba/spatial_signatures/enclosures/encl_{chunk_id}.pq')
    tess = enclosed_tessellation(buildings=blg, enclosures=enclosures.geometry.values, unique_id="uID", enclosure_id="enclosureID")
    tess['enclosureID'] = np.take(enclosures.enclosureID, tess.enclosureID).values
    tess.to_parquet(f'../../urbangrammar_samba/spatial_signatures/tessellation/tess_{chunk_id}.pq')
    client.restart()
    time.sleep(5)

/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:5: UserWarning: this is an initial implementation of Parquet/Feather file support and associated metadata.  This is tracking version 0.1.0 of the metadata specification at https://github.com/geopandas/geo-arrow-spec

This metadata specification does not yet make stability promises.  We do not yet recommend using this in a production setting unless you are able to rewrite your Parquet/Feather files.

To further ignore this warning, you can do: 
import warnings; warnings.filterwarnings('ignore', message='.*initial implementation of Parquet.*')
  """
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client.close()

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Geo-chunking Great Britain

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Generate hierarchical unique IDs