Retrieve, model, analyze, and visualize OpenStreetMap street networks and other spatial data
Project description
OSMnx is a package to easily download, model, project, visualize, and analyze complex street networks from OpenStreetMap in Python with NetworkX.
You can get a city’s or neighborhood’s walking, driving, or biking network with a single line of Python code. Then you can easily visualize cul-de-sacs or one-way streets, plot shortest-path routes, or calculate stats like intersection density, average node connectivity, betweenness centrality, etc.
Citation info: Boeing, G. 2017. “OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks.” Computers, Environment and Urban Systems 65, 126-139. doi:10.1016/j.compenvurbsys.2017.05.004
See the examples and demos on GitHub or read more about OSMnx.
Project details
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
Hashes for osmnx-0.13.0-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 90a833f767796ab6ce4d7be58006a52a1cb7c96213da6b35ece91fe6eca89c96 |
|
MD5 | 76bc35115fb12f435c6af30b2b811827 |
|
BLAKE2b-256 | 37fe0740131803d45ed048d1263a7e7691955b4ef702e9504da3cd25409cdb6c |