This is a set of Jupyter Notebooks for FOSS4G NA 2023 workshop.
The workshop can be run online in WholeTale and Google Colab. This is a convenient way, since no installation is needed.
WholeTale is a scalable, open source, web-based platform for reproducible research.
- Go to https://dashboard.wholetale.org/run/653491f2c67faf246f3aa36a
- Log in (there are different options)
- Run Tale (blue button at the top right)
- Confirm Copy and Run Tale
- If it keeps showing Importing... try to reload
- Run Tale
In Colab:
- File-> Open notebook
- Select Github
- Paste https://github.com/ncsu-geoforall-lab/grass-gis-workshop-foss4gna-2023/blob/main/colab_notebook.ipynb
In Google Colab we don't have pre-installed the software needed, so go ahead and execute the first part to install it. Also, in order to avoid repeating the installation, we merged all notebooks into one.
GRASS GIS is a desktop GIS and a feature-rich geoprocessing engine. In this workshop, we will explain and practice GRASS GIS concepts like computational region or mask and demonstrate them on examples of efficient raster, vector, and imagery processing. The workshop will run in a JupyterLab environment, introducing Python scripting for workflow automation. We will also take advantage of the latest GRASS GIS Python features for Jupyter, including 2D, 3D, web map, and temporal visualizations. This workshop is suitable for both new and experienced GRASS GIS users. While participants can run the workshop locally if desired, we will use a cloud environment so no installation will be required.
- 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.