OSMnx: A Python package to work with graph-theoretic OpenStreetMap street networks. OSMnx is a Python package that lets you download geospatial data from OpenStreetMap and model, project, visualize, and analyze real-world street networks and any other geospatial geometries. You can download and model walkable, drivable, or bikeable urban networks with a single line of Python code then easily analyze and visualize them. You can just as easily download and work with other infrastructure types, amenities/points of interest, building footprints, elevation data, street bearings/orientations, and speed/travel time.
Keywords for this software
References in zbMATH (referenced in 5 articles , 1 standard article )
Showing results 1 to 5 of 5.
- Alberto Garcia-Robledo, Mahboobeh Zangiabady: Dash Sylvereye: A WebGL-powered Library for Dashboard-driven Visualization of Large Street Networks (2021) arXiv
- Changjie Chen, Jasmeet Judge, David Hulse: PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis (2021) arXiv
- Gareth D. Simons: The cityseer Python package for pedestrian-scale network-based urban analysis (2021) arXiv
- James D. Gaboardi, Sergio Rey, Stefanie Lumnitz: spaghetti: spatial network analysis in PySAL (2021) not zbMATH
- G. Boeing: OSMnx: A Python package to work with graph-theoretic OpenStreetMap street networks (2017) not zbMATH