OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

Gallery of OSMnx tutorials, usage examples, and feature demonstations.

Course materials for: Geospatial Data Science

OSM in memory

Distances on Directed Graphs in R

Tools for the extraction of OpenStreetMap street network data

How to animate objects moving on OSMnx graph?

Convert Shapefile to the Network and find number of shortest paths

A Python package for extracting the Computational Image of the City from geospatial datasets

StreetContinuity (SC) is a python library that able to map a Primal Graph to a Dual Graph.

lmr-analyzer: A powerful toolkit to analyze the interaction between last mile operations and the street network design.

Street Networks Isolines and Isochrones

Detecting streets in the area of the Khalifa International Stadium. A deep learning approach with nano satellite images.

Geospatial data analysis, street network analysis, spatial autocorrelation, maps

This respository contains code for street network analysis of London based on centrality metrics, to investigate the potential implementation of the superblocks model.

examples for isolines - a python library for street networks isolines and isochrones : https://github.com/mlichter2/isolines

Virginia Street Network GIS Opendata: GeoJSON, Shapefiles and GraphML Files

This preliminary study links spatial data science, street network analysis and urban planning with San Francisco as a testing ground.

Finding the shortest route between points on a city map