Research on spatial and spatio-temporal data management is to fulfill the emerging requirements for storing, analyzing, exchanging, and disseminating spatial and spatio-temporal data in many GIS applications. Projects range from general spatial and spatio-temporal data management, such as the indexing structure, query processing, and concurrency control, to applications that deal with data analysis and knowledge discovery tasks, such as transportation visualization, watershed monitoring, disease outbreak analysis, geospatial web service, and web usage mining. The outputs of these projects have not only brought out high quality research papers and demos, but also helped the professionals in many fields, such as transportation managers and watershed engineers, to take efficient responses and make effective decisions. Projects develop new ways to manage and exchange spatial and temporal data, perform spatial-temporal data visualization and analysis, and discover underlying knowledge from various and distributed data sources. Specific research focus areas are: ------------------------------- Spatial data mining, e.g., spatial anomaly detection Indexing and query processing for multidimensional data Spatial stream mining Web usage mining Spatial data visualization Geospatial web services Geography markup language for geospatial applications -------------------¡@