worlddataleague-workshop

Workshop materials and slides for World Data League.

Working and Analysing OpenStreetMap for Data Science Projects

Setup

You can run the notebooks either with docker or with anaconda environment.

Install docker by following this Guide (Ubuntu). And this guide to install docker-compose.

Build and run with docker:

docker-compose -f docker/docker-compose.yml up --build

To install Anaconda download it from here.

Create wdl Anaconda environment with:

conda env create -f environment.yml
conda activate wdl
jupyter-lab

If you wish to preprocess the data yourself, you can run:

bash prepare-data.sh

Make sure to use the Anaconda environment. Tested on Ubuntu 20.04.

This project is licensed under the MIT license. See the LICENSE for details.

Name		Name	Last commit message	Last commit date
Latest commit History 19 Commits
assets		assets
docker		docker
scripts		scripts
.gitignore		.gitignore
00-slides-gtfs.ipynb		00-slides-gtfs.ipynb
00-slides-osm.ipynb		00-slides-osm.ipynb
01-openstreetmap-amenities.ipynb		01-openstreetmap-amenities.ipynb
02-osmnx-street-network-analysis.ipynb		02-osmnx-street-network-analysis.ipynb
03-logistic-regression.ipynb		03-logistic-regression.ipynb
04-clustering.ipynb		04-clustering.ipynb
05-gtfs-opentripplanner.ipynb		05-gtfs-opentripplanner.ipynb
LICENSE		LICENSE
README.md		README.md
environment.yml		environment.yml
prepare-data.sh		prepare-data.sh