OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
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Updated
Oct 26, 2024 - Python
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
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.
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
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