Scientific Data paper

The second output of the month, a very related one to the previous one! If in the Habitat paper we set out to describe the core concepts behind spatial signatures, in this one we showed it is possible to deploy at scale while retaining detail and consistency. We applied the notion of spatial signatures to Great Britain to create an open data product. Here are the full coordinates:

Fleischmann, M., & Arribas-Bel, D. (2022). “Geographical characterisation of British urban form and function using the spatial signatures framework”. Scientific Data, 9(1), 1-15. https://doi.org/10.1038/s41597-022-01640-8

• Published version (Open Access)

• Code repository@Github (Web render)

• Intro thread@Twitter

• Interactive map

• Signature description

• Data download@CDRC

• Enclosed Tessellation data download@Github

@article{fleischmann2022geographical,
  title={Geographical characterisation of British urban form and function using the spatial signatures framework},
  author={Fleischmann, Martin and Arribas-Bel, Daniel},
  journal={Scientific Data},
  volume={9},
  number={1},
  pages={1--15},
  year={2022},
  publisher={Nature Publishing Group}
}

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