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, Oracle Spatial MapViewer 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 group is aimed at contributing to the development of new techniques and methods to improve the process on knowledge acquisition.

Themes :
Geostatistics and spatial simulation;
Agent-based spatial modelling;
Cellular automata spatial modelling;
Spatial statistical models;
Space-temporal modelling;
Spatial network modelling;
Geovisual analytics, geovisualisation, visual exploratory data analysis;
Visualisation and modelling of track data;
Spatial Optimization;
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;
Urban modeling;
Applied geography;
Spatial data analysis;
Dynamic modelling;
Simulation, space-time dynamics, visualization and virtual reality.

The activity is aimed at creating a working group at international level focused on the topics of Spatial statistics and geographical analysis and modelling, gathering experiences and expertises from different disciplines involved in the study of space.