Fourth International Workshop on "Geographical Analysis, Urban Modeling, Spatial Statistics"The growth of Spatial Data Infrastructures, Geo-portals and private sector initiatives (e.g. Google Earth, Microsoft Virtual Earth, etc.) produced an increase of geographical data availability at any scale and worldwide. 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;
Spatial network modelling;
Geovisual analytics, geovisualisation, visual exploratory data analysis;
Visualisation and modelling of track data;
Interaction Simulation Models;
Data mining, spatial data mining;
Spatial Data Warehouse and Spatial OLAP;
Integration of Spatial OLAP and Spatial data mining;
Spatial Decision Support Systems;
Spatial Multicriteria Decision Analysis;
Spatial Rough Set;
Spatial extension of Fuzzy Set theory;
Ontologies for Spatial Analysis;
Spatial data analysis;
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 24, 2009.
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.