Map generalization is used to derive maps for secondary scales and/or specific goals. This operationgreatly benefits spatial decision support systems as itcan provide a global and simplified representation of aphenomenon discarding irrelevant information. Therecent popularity of OLAP systems for variousapplication domains has generated much interest forthe development of Spatial OLAP (SOLAP) modelsthat integrate spatial data in data warehouse andOLAP systems. Although powerful under some respect,current SOLAP models cannot support mapgeneralization capabilities. In this paper, we present aconceptual multidimensional model integrating mapgeneralization. The model extends SOLAP spatialhierarchies introducing multi-associationrelationships, and supports imprecise measures.
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