A package for studying urban form and obtaining the computational Image of the City
Project description
cityImage
A tool for analysing urban legibility and extracting The Computational Image of the City For full documentation and examples see the user manual.
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 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.
The tools are written in Python and requires:
It is built on GeoPandas, NetworkX, and Shapely.
How to install cityImage
pip install cityImage
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file cityImage-1.10.tar.gz.
File metadata
- Download URL: cityImage-1.10.tar.gz
- Upload date:
- Size: 68.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
685a67a3e1c9fe178c355a611694cf57ba174a1676a358fafdaf6e7523ab1ae4
|
|
| MD5 |
70f57c2aa58f6650bd793bdacb2da5ff
|
|
| BLAKE2b-256 |
ab8259db9fc4b9e228f62418f409959c572a43622d0d4d7f2d5d123814f6f5b6
|
File details
Details for the file cityImage-1.10-py3-none-any.whl.
File metadata
- Download URL: cityImage-1.10-py3-none-any.whl
- Upload date:
- Size: 73.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ede74a386ba5d45fec3e39150ead14146e88e2c7525dda3084201289250f4830
|
|
| MD5 |
2a574ab6d0aeb8bb451fcb4c2c56f2f2
|
|
| BLAKE2b-256 |
dc88e9c5173cd3c78be75002ba0bde978fb8b34172de9a7f7f0f3480d7660313
|
