Data warehouses and OLAP systems help to analyze complex multidimensional data and provide decision support. With the availability of large amounts of spatial data in recent years, several new models have been proposed to enable the integration of spatial data in data warehouses and to help analyze such data. This is often achieved by a combination of GIS and spatial analysis tools with OLAP an...

The last decade has seen a renaissance in spatial modeling. Increased computational power and the greater availability of spatial data have aided in the creation of new modeling techniques for studying and predicting the growth of cities and urban areas. Cellular automata is one modeling technique that has become widely used and cited in the literature; yet there are still some very basic quest...

To facilitate development of spatial applications, we investigate the problem of modeling topological constraints in part-whole relationships between spatial objects, where the related objects may themselves be composite. An example would be countries that belong to a supranational organization, where the countries are themselves composed of states. Current topological classification schemes ar...