08-22, 09:00–13:00 (Europe/Rome), 210
Come and learn how to get the most out of GRASS GIS. We will cover both basic and advanced concepts while working conveniently in a JupyterLab environment.
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 is a geospatial research software engineer with PhD in Geospatial Analytics. She develops spatio-temporal models of urbanization and pest spread across landscape. As a member of the OSGeo Foundation and the GRASS GIS Project Steering Committee, Anna advocates the use of open source software in research and education.
Caitlin is a 2nd year doctoral student in the GeoForAll Lab at North Carolina State University in Raleigh, NC, USA. Through her work with Anna Petrasova, Vaclav Petras and Helena Mitasova, she has been working on improving the integration of GRASS GIS and Jupyter Notebooks.
Vaclav (Vashek) Petras is a research software engineer, open source developer, and open science advocate. He received his masters in Geoinformatics from the Czech Technical University and PhD in Geospatial Analytics from the North Carolina State University. Vaclav is a member of the GRASS GIS Development Team and Project Steering Committee.