Spatial OLAP (SOLAP) integrates spatial data into OLAP systems. SOLAP models define spatial dimensions and measures and spatio-multidimensional operators. In this paper we present the concepts of geographic and complex measures that allow for integrating geographic and complex information as subjects of analysis in spatial data warehouses. The concept of geographic measure extends the concept of spatial measure to the semantic component of geographic information. The concept of complex measure allows us to introduce complex data as subjects of multidimensional analysis. In order to reduce the gap in flexibility between spatial and multidimensional analysis, we first propose a symetrical representation of measures and dimensions. Then, we present a Web-based SOLAP prototype, GeWOlap, that enriches existing SOLAP tools by effectively and easily supporting symetrical geographic/complex measures and dimensions for modeling and visualization.