Uncertainty management is necessary for real world applications. This especially holds true for database systems. Spatial data, and geographic information systems in particular, require some means for managing uncertainty. Rough set theory has been shown to be an effective tool for data mining and for uncertainty management in databases. This presentation addresses the particular needs for management of uncertainty in spatial data and geographic information systems and discusses ways in which rough sets can be used to enhance these systems.

WHERE: TEC 205