This is a set of Jupyter Notebooks for FOSS4G 2022 workshop.

You do not need to install anything, the notebooks are hosted on mybinder.org.

If binder does not start even after couple tries, try a different web browser. For the workshop, we also had the following backup solutions available:

During a workshop, you will obtain a username and go to a given URL. There you can login with your username and create a new password. You should see a Jupyter Lab, so create a new Terminal from the Launcher tab and execute (use Ctrl+V to paste):

git clone https://github.com/ncsu-geoforall-lab/grass-gis-workshop-foss4g-2022.git
mv grass-gis-workshop-foss4g-2022/*.ipynb .
rm -rf grass-gis-workshop-foss4g-2022/
cp -R /data/grass-gis-workshop-foss4g-2022/* .

Then find workshop_part_1_intro.ipynb on the left side and double click at it.

Open colab_workshop.ipynb in Google Colab. The disadvantage is that GRASS GIS needs to be compiled first, so the startup can take several minutes. All material is presented in a single notebook.

Whether you are considering using GRASS GIS for your next project or you are a GRASS GIS power user who wants to learn new tips and tricks, this workshop is for you. We will explain and practice GRASS GIS concepts like location, computational region, or mask and demonstrate them on examples of efficient raster, vector, and imagery processing. We will go through several options to parallelize your workflows that are applicable for various computing platforms including your laptop and HPC. Finally, this workshop will be run in a JupyterLab environment, taking advantage of the latest GRASS GIS Python features for Jupyter, including pretty 2D, 3D, webmap, and temporal visualizations.

• Anna Petrasova, NCSU Center for Geospatial Analytics
• Caitlin Haedrich, NCSU Center for Geospatial Analytics
• Vaclav Petras, NCSU Center for Geospatial Analytics

This material is dual licensed under GNU FDL 1.3 and CC BY-SA 4.0.