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# cityImage
**A tool for analysing urban legibility and extracting The Computational Image of the City**
For full documentation and examples see [the user manual](https://cityimage-docs.readthedocs.io/en/latest/).
This repository provides a set of functions to extract salient urban features in line with the definitions laid down by Kevin Lynch in [The Image of The City](https://mitpress.mit.edu/books/image-city) using open and freely available geospatial datasets.
The methods are fully documented in *A Computational approach to The Image of the City* by Filomena, Verstegen, and Manley, published in [Cities](https://doi.org/10.1016/j.cities.2019.01.006).
The tools are written in Python and requires:
* [OSMNx](https://osmnx.readthedocs.io/en/stable/).
* [PyVista](https://docs.pyvista.org/version/stable/).
* [python-louvain](https://github.com/taynaud/python-louvain).
* [mapclassify](https://github.com/pysal/mapclassify).
It is built on [GeoPandas](https://github.com/geopandas/geopandas), [NetworkX](https://github.com/networkx/networkx), and [Shapely](https://github.com/shapely/shapely).
## How to install *cityImage*
pip install cityImage
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