There are 2 repositories under street-networks topic.
Gallery of OSMnx tutorials, usage examples, and feature demonstations.
Course materials for: Geospatial Data Science
Distances on Directed Graphs in R
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.
Detecting streets in the area of the Khalifa International Stadium. A deep learning approach with nano satellite images.
This respository contains code for street network analysis of London based on centrality metrics, to investigate the potential implementation of the superblocks model.
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
Finding the shortest route between points on a city map
This preliminary study links spatial data science, street network analysis and urban planning with San Francisco as a testing ground.
Virginia Street Network GIS Opendata: GeoJSON, Shapefiles and GraphML Files