There will be several tutorials offered within the framework of the conference. These tutorials will take place one day before or after the conference itself, that is on July 9th or July 13th

SAMT - Spatial Analysis Modeling Tool

Dr. Ralf Wieland, ZALF Muencheberg Institut fuer Landschaftsystemanalyse, Germany

July 13th

Cost - $25


  1. Spatial Analysis and Modeling Tool (SAMT) possibilities and limitations
    1. Example: environmental risk assessment
    2. Data in- and export
    3. Simple grid operations (cut, class, rand,...)
    4. Advanced grid operations (moving window, grid combine, interpolation,...)
    5. Different data analysis techniques with SAMT
    6. Data visualization (2D, 3D)
  2. Habitat modeling with SAMT
    1. Introduction to fuzzy modeling
    2. Fuzzy-toolbox: SAMT-FUZZY
    3. The use of fuzzy models in a spatial context
    4. Analysis of fuzzy model on real datasets
  3. Yield modeling using neural networks
    1. Introduction into neural networks
    2. The neural network toolbox of SAMT: SAMT-NN
    3. The use of neural networks in a spatial context
    4. Analysis of neural networks on real datasets
  4. Dynamic in spatial modeling with DESIRE
    1. Why do we need dynamic models in spatial context?
    2. Short introduction to DESIRE
    3. The interface between SAMT and DESIRE
    4. Examples for dynamic problems

SAMT-CDs will be prepared for all participants. The CDs can boot the PCs and do not change the Hard-disk.

Tutorial Slides can be found here:

Part 1         Part 2         Part 3         Part 4        


Cost - $15

Jess Spate, Australian National University, Canberra, Australia.
Eibe Frank, University of Waikato, Hamilton, New Zealand.
Karina Gibert, Dep. Statistics and Operation Research, Technical University of Catalonia, Barcelona, Spain.
Xindong Wu, University of Vermont, USA.
Joaquim Comas, Laboratory of Chemical and Environmental Engineering, Girona University (LEQUIA), Girona, Spain.
Ioannis Athanasiadis, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale, Lugano, Switzerland.
Miquel Snchez-Marr, Knowledge Engineering and Machine Learning group (KELMG), Technical University of Catalonia, Barcelona, Catalonia.

The WEKA package is one of the most widely applied and is open source and freely available for download, and GESCONDA is an environmental science-specific package under development.


There will be no formal tutorial for GRASS, however there will be in depth discussions related to open source geospatial tools within the framework of Workshop 13, and you can take advantage of the presence of Helena Mitasova, one of core GRASS developers. To learn more about GRASS basics see this tutorial contributed by Markus Neteler.