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

Course materials for: Geospatial Data Science

Computational tools for urban analysis

Maps made as part of the #30DayMapChallenge - mostly in python but also use QGIS and other tools

Source code for the paper "Growing urban bicycle networks", exploring algorithmically the limitations of urban bicycle network growth

A Python package for Map Matching and Mapping. Research work for Noise Planet center.

How to animate objects moving on OSMnx graph?

Source code for superblockify

Extract and visualize airport data (ex: runway geocoordinates) from OpenStreetMap with Python tools

This GitHub repository and accompanying webpage contain the initial proof of concept and exploratory analysis for the design of a holistic and interactive mapping tool to support decision-making in health and social care.

Creating an Adjacency Matrix Using the Dijkstra Algorithm for Graph Convolutional Networks GCNs

Using OSMnx, OSRM, and Google Maps Directions API with Python to calculate shortest, fastest, and traffic-based most-efficient routes for a set of origin and destination points

Traffic analysis using Automatic Number Plate Recognition (ANPR) cameras.

A small wrapper for visualizing street networks and making artistic maps with OpenStreetMap and Networkx

Materials for workshop "Build A Routing Web Application With OpenStreetMap, Neo4j, and Leaflet.js"

OSMuf: Analyse urban form with Python and OpenStreetMap. Quantitative analysis of urban blocks and built density. Built on OSMnx.

Collection of short geospatial scripts and more...

Plotting the Optimal Route in Python for Data Scientists using the Dijkstra Algorithm

Developing a bicycling infrastructure classification system for Greater Melbourne using OpenStreetMap