GRASS GIS: From Beginner to Power User
2021-09-28, 09:00–13:00, Frida Kahlo

Do you want to use GRASS GIS, but never understood concepts like location, mapset or computational region? Or perhaps you used GRASS GIS already but you wonder what are the latest tips and tricks? In this workshop, we will explain and practice these concepts and answer questions more advanced users may have. We will help you decide when to use graphical user interface and when to use the power of the command line. We will go through simple, yet useful examples of vector, raster, and image processing functionality. Building on these examples, we will employ Python scripting to parallelize our workflows to get you ready for your next big data project. We aim this workshop at absolute beginners without prior knowledge of GRASS GIS, but we hope it can be useful to current users looking for deeper understanding of basic concepts or the curious ones who want to try the latest additions to GRASS GIS.

Don't forget to register before we run out of tickets!

GRASS GIS, commonly referred to as GRASS (Geographic Resources Analysis Support System), is a free and open source Geographic Information System (GIS) software suite used for geospatial data management and analysis, image processing, graphics and maps production, spatial modeling, and visualization.

Workshop is based on our successful FOSS4G 2017 GRASS GIS workshop, updated for GRASS GIS 8.

Authors and Affiliations

Anna Petrasova (1)
Vaclav Petras (1)
Veronica Andreo (2)
Helena Mitasova (1)

(1) Center for Geospatial Analytics, North Carolina State University, USA
(2) Mario Gulich Institute of the Argentinian Space Agency, CONICET, Argentina


2 - Basic. General basic knowledge is required.

Requirements for the Attendees

Only basic GIS knowledge is required.
Workshop will be using latest GRASS GIS release.

Vaclav (Vashek) Petras is a research software engineer, open source developer, and open science advocate. He received his masters in Geoinformatics from Czech Technical University and PhD in Geospatial Analytics from North Carolina State University. Vaclav is a member of the GRASS GIS Development Team and Project Steering Committee.

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.