All Projects → gboeing → Osmnx Examples

gboeing / Osmnx Examples

Licence: mit
Usage examples, demos, and tutorials for OSMnx.

Projects that are alternatives of or similar to Osmnx Examples

Ppd599
USC urban data science course series with Python and Jupyter
Stars: ✭ 1,062 (+23.06%)
Mutual labels:  jupyter-notebook, transportation, network-analysis, transport
Osmnx
OSMnx: Python for street networks. Retrieve, model, analyze, and visualize street networks and other spatial data from OpenStreetMap.
Stars: ✭ 3,357 (+288.99%)
Mutual labels:  transportation, accessibility, openstreetmap
public-transit-tools
Tools for working with GTFS public transit data in ArcGIS
Stars: ✭ 126 (-85.4%)
Mutual labels:  accessibility, transport, network-analysis
citylines
Citylines.co is a collaborative platform for mapping the transit systems of the world!
Stars: ✭ 53 (-93.86%)
Mutual labels:  transport, city
gtfs-osm-sync
Synchronizes public transportation data in GTFS format with OpenStreetMap.org
Stars: ✭ 85 (-90.15%)
Mutual labels:  openstreetmap, transportation
DTA
This repository documents MATLAB implementation of a dynamic user equilibrium solver, including a dynamic network loading sub-routine
Stars: ✭ 55 (-93.63%)
Mutual labels:  transportation, transport
web-maps-wcag-evaluation
Manual accessibility evaluation of popular web map tools.
Stars: ✭ 28 (-96.76%)
Mutual labels:  accessibility, openstreetmap
a11yjson
A11yJSON: A standard to describe the accessibility of the physical world.
Stars: ✭ 58 (-93.28%)
Mutual labels:  accessibility, openstreetmap
accessibility-cloud
👩🏽‍🦯🦮👩🏻‍🦽👩🏿‍🦼 the platform to exchange physical accessibility data in a standardized, future-proof, easy-to-use way.
Stars: ✭ 37 (-95.71%)
Mutual labels:  accessibility, openstreetmap
Hands On Nltk Tutorial
The hands-on NLTK tutorial for NLP in Python
Stars: ✭ 419 (-51.45%)
Mutual labels:  jupyter-notebook, binder
Stplanr
Sustainable transport planning with R
Stars: ✭ 352 (-59.21%)
Mutual labels:  transportation, transport
Pythoncode Tutorials
The Python Code Tutorials
Stars: ✭ 544 (-36.96%)
Mutual labels:  jupyter-notebook, network-analysis
Contextily
Context geo-tiles in Python
Stars: ✭ 254 (-70.57%)
Mutual labels:  jupyter-notebook, openstreetmap
Ten Rules Jupyter
Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks
Stars: ✭ 204 (-76.36%)
Mutual labels:  jupyter-notebook, binder
Juniper
🍇 Edit and execute code snippets in the browser using Jupyter kernels
Stars: ✭ 189 (-78.1%)
Mutual labels:  jupyter-notebook, binder
California Coronavirus Data
The Los Angeles Times' independent tally of coronavirus cases in California.
Stars: ✭ 188 (-78.22%)
Mutual labels:  jupyter-notebook, binder
Quickviz
Visualize a pandas dataframe in a few clicks
Stars: ✭ 18 (-97.91%)
Mutual labels:  jupyter-notebook, binder
Jupyter Server Proxy
Jupyter notebook server extension to proxy web services.
Stars: ✭ 153 (-82.27%)
Mutual labels:  jupyter-notebook, binder
Binderhub
Run your code in the cloud, with technology so advanced, it feels like magic!
Stars: ✭ 2,050 (+137.54%)
Mutual labels:  jupyter-notebook, binder
Geopandas Tutorial
Tutorial on geospatial data manipulation with Python
Stars: ✭ 306 (-64.54%)
Mutual labels:  jupyter-notebook, binder

Binder Build Status

OSMnx Examples

OSMnx is a Python package to work with street networks and other spatial data from OpenStreetMap: retrieve, model, analyze, and visualize street networks as well as other infrastructure types, points of interest, building footprints, speed/travel time, elevation, and more.

This repo contains usage examples and feature demonstrations. You can run these OSMnx example notebooks interactively online with Binder or locally with the official OSMnx docker image. All of the examples are in this repo's notebooks folder. Note that this repo's master branch generally tracks the functionality of the OSMnx repo's master branch. For examples corresponding to previous versions, use this repo's tags to browse by release.

More info:

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].