Introduction to geospatial data analysis with GeoPandas and the PyData stack

Tutorial on geospatial data manipulation with Python

This tutorial is an introduction to geospatial data analysis in Python, with a focus on tabular vector data using GeoPandas. It will introduce the different libraries to work with geospatial data and will cover munging geo-data and exploring relations over space. This includes importing data in different formats (e.g. shapefile, GeoJSON), visualizing, combining and tidying them up for analysis, exploring spatial relationships, ... and will use libraries such as pandas, geopandas, shapely, pyproj, matplotlib, cartopy, ...

The tutorial will cover the following topics, each of them using Jupyter notebooks and hands-on exercises with real-world data:

1. Introduction to vector data and GeoPandas
2. Visualizing geospatial data
3. Spatial relationships and operations
4. Spatial joins and overlays
5. Short showcase of parallel/distributed geospatial analysis with Dask

This repository initially contained the teaching material for the geospatial data analysis tutorial at GeoPython 2018, May 7-9 2018, Basel, Switzerland, and was later updated and also used at Scipy 2018 and EuroScipy 2018.

Installation notes

Following this tutorial will require recent installations of:

• Python >= 3.5 (it will probably work on python 2.7 as well, but I didn't test it specifically)
• pandas
• geopandas >= 0.5.0
• matplotlib
• rtree
• mapclassify
• contextily
• Jupyter Notebook
• (optional for mining sites case study) rasterio, rasterstats
• (optional for visualisation showcase) cartopy, geoplot, folium, ipyleaflet

If you do not yet have these packages installed, we recommend to use the conda package manager to install all the requirements (you can install miniconda or install the (larger) Anaconda distribution, found at https://www.anaconda.com/download/).

Once this is installed, the following command will install all required packages in your Python environment:

conda install jupyter geopandas

For the optional dependencies, you can do:

conda install cartopy
conda install geoplot -c conda-forge

But of course, using another distribution (e.g. Enthought Canopy) or pip is fine as well (a requirements file is provided as well), as long as you have the above packages installed.

Want to try out without installing anything? You can use the "launch binder" link above at the top of this README, which will launch a notebook instance on Binder with all required libraries installed.

Downloading the tutorial materials

Note: I am still updating the materials, so I recommend to only download the materials the morning before the tutorial starts, or to update your local copy then. To update a local copy, you can download the latest version again, or do a git pull if you are using git.

If you have git installed, you can get the tutorial materials by cloning this repo:

git clone https://github.com/jorisvandenbossche/geopandas-tutorial.git

Otherwise, you can download the repository as a .zip file by heading over to the GitHub repository (https://github.com/jorisvandenbossche/geopandas-tutorial) in your browser and click the green "Download" button in the upper right:

Test the tutorial environment

To make sure everything was installed correctly, open a terminal, and change its directory (cd) so that your working directory is the tutorial materials you downloaded in the step above. Then enter the following:

python check_environment.py

Make sure that this scripts prints "All good. Enjoy the tutorial!"