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 4, 2024 - Python
OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Computational tools for urban analysis
Source code for superblockify
Traffic analysis using Automatic Number Plate Recognition (ANPR) cameras.
OSMuf: Analyse urban form with Python and OpenStreetMap. Quantitative analysis of urban blocks and built density. Built on OSMnx.
Developing a bicycling infrastructure classification system for Greater Melbourne using OpenStreetMap
Plotting the Optimal Route in Python for Data Scientists using the Dijkstra Algorithm
lmr-analyzer: A powerful toolkit to analyze the interaction between last mile operations and the street network design.
Create map waypoints and layers from open data sources
Landcover classification on sentinel-2 data with Prithvi, EfficientNet-Unet and OSM / CNES Landcover labels.
Dijkstra adjacency distance matrices were calculated for 40 cities from traffic sensor locations provide by UTD19 https://utd19.ethz.ch/.
Agent-based activity generation of runners for city infrastructure planning.
Solving the Chinese Postman problem: calculating a path to clear the snow in Montréal using osmnx
Simple routing engine for OpenStreetMaps with easy to customize profiles/weight-functions.
Generate map templates for Farming Simulator from real places.
GAIA - Geospatial & Aerial Images Analyser
Python CLI for analyzing and simulating GPX routes.
Easy Tactical Map Generation for outdoor competitive sports, with a specific focus on Airsoft and Paintball.
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