Workshop Themes

• Decision Support Theory;
• Spatial Multicriteria Decision Analysis;
• Spatial Rough Set;
• Spatial extension of Fuzzy Set theory;
• Ontologies for Spatial Analysis;
• Environmental data mining;
• Learning from geospatial data;
• Machine Learning and Geostatistics;
• Artificial neural networks;
• Web-based decision analysis tools;
• Wireless Sensor Networks for Spatial Apllications
• Ant-based Algorithms;
• Cellular automata;
• Bayesian reasoning;
• Statistical learning theory: support vector machines, kernel methods;
• Remote sensing and remote sensed image processing;
• Geographical approach to risk analysis;
• Spatial Data warehousing foundations and architectures;
• Spatial Data extraction, cleaning, and loading;
• Spatial Multidimensional modeling and queries;
• Spatial OLAP visualization;
• New Spatial OLAP applications;
• Spatial OLAP as support for intelligent spatial analysis (data mining, multi-criteria, etc...);
• Spatial data mining: algorithms and visualization;
• New spatial data mining applications;
• Coupling spatial data mining and Spatial OLAP;
• Geovisual analytics, geovisualisation, visual exploratory data analysis;
• Visualisation and modelling of track data.