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OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap. You can download and model walking, driving, or biking networks with a single line of code then analyze and visualize them.
- Getting Started
OSMnx geocodes place names and addresses with the...
- Installation
OSMnx is written in pure Python and its installation alone...
- User Reference
This is the User Reference for the OSMnx package. If you are...
- Internals Reference
This is the complete OSMnx internals reference for...
- Further Reading
Boeing, G. (2021). Street Network Models and Indicators for...
- Getting Started
People also ask
What is OpenStreetMap osmnx?
How do I use osmnx in OpenStreetMap nominatim?
How does OpenStreetMap work?
How do I get street network data from OpenStreetMap?
Jan 8, 2020 · OSMnx is a Python tool for for analysing street networks. "Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap." github.com/gboeing/osmnx - Github repo gives the overview description, instructions, and downloads. Created by Geoff Boeing.
Download OpenStreetMap geospatial features’ geometries and attributes. Retrieve points of interest, building footprints, transit lines/stops, or any other map features from OSM, including their geometries and attribute data, then construct a GeoDataFrame of them.
OSMnx geocodes place names and addresses with the OpenStreetMap Nominatim API. You can use the geocoder module to geocode place names or addresses to lat-lon coordinates. Or, you can retrieve place boundaries or any other OpenStreetMap elements by name or ID.
One the most useful features that OSMnx provides is an easy-to-use way of retrieving OpenStreetMap data (using OverPass API). In this tutorial, we will learn how to download and visualize OSM data covering a specified area of interest: the neighborhood of Edgewood in Washington DC USA.
Jul 24, 2024 · OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap. You can download and model walking, driving, or biking networks with a single line of code then analyze and visualize them.