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

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

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

Finding the shortest route between points on a city map

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

Repositório do meu POC2

Street Networks Isolines and Isochrones

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

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.

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

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

How to animate objects moving on OSMnx graph?

Convert Shapefile to the Network and find number of shortest paths

Distances on Directed Graphs in R

Tools for the extraction of OpenStreetMap street network data

OSM in memory

Course materials for: Geospatial Data Science

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