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

Computational tools for urban analysis

Generate map templates for Farming Simulator from real places.

Source code for superblockify

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

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.

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

Developing a bicycling infrastructure classification system for Greater Melbourne using OpenStreetMap

Implementation of a GPS Telegram Bot using Python

lmr-analyzer: A powerful toolkit to analyze the interaction between last mile operations and the street network design.

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.

Create map waypoints and layers from open data sources

Landcover classification on sentinel-2 data with Prithvi, EfficientNet-Unet and OSM / CNES Landcover labels.

A simple web app made using flask and bootstrap that, when given a length and a location, will generate a circuit of approximately that length nearby. This can be used to plan a running route.

Simple routing engine for OpenStreetMaps with easy to customize profiles/weight-functions.

GAIA - Geospatial & Aerial Images Analyser

Solving the Chinese Postman problem: calculating a path to clear the snow in Montréal using osmnx