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GEOSTAT tutorials

GEOSTAT software

Software iconList of FOSS software used in this course and installation instructions. Follow these instructions to prepare and customize the software before the beginning of the course.

Literature used

ASDAR bookList of books / lecture notes used in this course. See also: CRAN Task View: Analysis of Spatial Data.


« February 2017 »

GRASS GIS tutorial

LocationEM room

Objective: Introduction to GRASS GIS: from history and background to statistical modules and GRASS+R
General description: The tutorial will begin with a general introduction to GRASS with a few exercises to get familiar with GRASS. Emphasis will be put on some important concepts of GRASS: locations, computational regions and vector topology. The amount of exercises will then increase from session to session, ending with GRASS – R interaction.
Required back-ground knowledge: GIS and spatial data processing, statistics.
Software / R packages required: GRASS 6.4.2+ or 6.5, R.

9:00–10:30 GRASS GIS Intro, getting started - Markus Neteler
Summary: GRASS history and background; GRASS database concept (GISDBase, Location, Mapset); computational region in GRASS; raster format intro and principles of raster processing; vector format intro and principles of vector processing; data import/export; raster/vector reprojection. Exercises: data import/export, computational regions for raster processing, vector topological cleaning.

10:30–11:00 Coffee break;

11:00–12:30 Overview of the functionality in GRASS, exercises with selected modules - Markus Neteler
Summary: GRASS command structure; 3D visualisation; scripting in GRASS; statistical modules for raster maps, vector maps, and combining raster and vector maps. Each part will be accompanied by exercises.

12:30–14:00 Lunch break;

14:00–15:30 Lecture cont'ed + GRASS GIS exercises - Markus Neteler (in collaboration with Markus Metz)
Summary: GRASS - R interaction. Some analysis and visualization will be done with the ECA&D European climate data set from 1981 - 2010 (monthly aggregates)

15:30–15:45 Coffee break;

15:45–17:00 exercises -Markus Neteler (in collaboration with Markus Metz)
Summary: exercises continued; open analysis session.

Software download:

  • Course material incl. data sets download: here (updated!)
  • Software:
    • Linux: your distro may offer a recent GRASS GIS package, see also here
    • MS-Windows: get the latest 6.4.svn snapshot from here (corresponds to 6.4.3)
    • Mac OSX: get the package from here
    • R: get the package from here


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