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
Jun 4, 2024 - Python
OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
Distances on Directed Graphs in R
Gallery of OSMnx tutorials, usage examples, and feature demonstations.
OSM in memory
A Python package for extracting the Computational Image of the City from geospatial datasets
lmr-analyzer: A powerful toolkit to analyze the interaction between last mile operations and the street network design.
StreetContinuity (SC) is a python library that able to map a Primal Graph to a Dual Graph.
Tools for the extraction of OpenStreetMap street network data
Course materials for: Geospatial Data Science
How to animate objects moving on OSMnx graph?
Finding the shortest route between points on a city map
Street Networks Isolines and Isochrones
This respository contains code for street network analysis of London based on centrality metrics, to investigate the potential implementation of the superblocks model.
Detecting streets in the area of the Khalifa International Stadium. A deep learning approach with nano satellite images.
Geospatial data analysis, street network analysis, spatial autocorrelation, maps
This preliminary study links spatial data science, street network analysis and urban planning with San Francisco as a testing ground.
examples for isolines - a python library for street networks isolines and isochrones : https://github.com/mlichter2/isolines
Convert Shapefile to the Network and find number of shortest paths
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