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osmnx's Introduction

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OSMnx

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. You can just as easily work with urban amenities/points of interest, building footprints, transit stops, elevation data, street orientations, speed/travel time, and routing.

OSMnx 2.0 is coming soon: read the migration guide.

Citation

If you use OSMnx in your work, please cite the journal article:

Boeing, G. 2017. "OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks." Computers, Environment and Urban Systems 65, 126-139.

Getting Started

First read the Getting Started guide for an introduction to the package and FAQ.

Then work through the OSMnx Examples gallery for step-by-step tutorials and sample code.

Installation

Follow the Installation guide to install OSMnx.

Support

If you have any trouble, consult the User Reference. The OSMnx repository is hosted on GitHub. If you have a "how-to" or usage question, please ask it on StackOverflow, as we reserve the repository's issue tracker for bug tracking and feature development.

License

OSMnx is open source and licensed under the MIT license. OpenStreetMap's open data license requires that derivative works provide proper attribution. Refer to the Getting Started guide for usage limitations.

osmnx's People

Contributors

gboeing avatar atelierlibre avatar mxndrwgrdnr avatar htenkanen avatar migurski avatar pmartincalvo avatar davidmurray avatar samuelduchesne avatar ncotie avatar eumiro avatar d-wasserman avatar kuanb avatar ppintosilva avatar groundrace avatar guibar avatar nickodell avatar martinfleis avatar ewouth avatar benafischer94 avatar mctoel avatar sebmilardo avatar runorveith avatar pmlpm1986 avatar a-gerhard avatar davidbreuer avatar yonghah avatar anisotropi4 avatar andreytyu avatar kjacks21 avatar ilyaorson avatar

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