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?

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

Convert Shapefile to the Network and find number of shortest paths

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

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

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

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