Workshop Description

To date availability of geographic data and information is growing together with the capacity of users to operate with IT tools and instruments. Spatial data infrastructures are growing and allow a wide number of users to rely on them. This growth has not been fully coupled by an increase of knowledge to support spatial decisions. Spatial analytical techniques and geographical analysis and modelling methods are therefore required in order to analyse data and to facilitate the decision process at all levels. Old geographical issues can find an answer thanks to new methods and instruments, while new issues are developing, challenging the researchers for new solutions. This workshop is aimed at contributing to the development of new techniques and methods to improve the process on knowledge acquisition.

The programme committee especially requests high quality submissions on the following Conference Themes :
• Geostatistics and spatial simulation;
• Agent-based spatial modelling;
• Cellular automata spatial modelling;
• Spatial statistical models;
• Space-temporal modelling;
• Data mining;
• Urban modeling;
• Applied geography;
• Spatial data analysis;
• Dynamic modelling;
• Simulation, space-time dynamics, visualization and virtual reality.

Each paper will be independently reviewed by 3 programme committee members. Their individual scores will be evaluated by a small sub-committee and result in one of the following final decisions: accepted, or accepted on the condition that suggestions for improvement will be incorporated, or rejected. Notification of this decision will take place March 31, 2008.
Individuals and groups should submit complete papers (10 to 16 pages).
Accepted contributions will be published in the Springer-Verlag Lecture Notes in Computer Science (LNCS) volumes.