representing spatiality in a conceptual multidimensional model
Data Warehouses and On-Line Analytical Processing systems rely on a multidimensional model that includes dimensions, hierarchies, and measures. Such model allows to express users' requirements for supporting the decision-making process and to facilitate its afterward implementation. Although Data Warehouses typically include a spatial or location dimension, this dimension is usually represented in an alphanumeric format. However, it is well-known that a visual representation of spatial data allows to reveal patterns that are difficult to discover otherwise. Further, a multidimensional model is seldom used for representing spatial data. In this work we propose an extension of a conceptual multidimensional model with spatial dimensions, spatial hierarchies, and spatial measures. We also consider the inclusion of topological relationships and topological operators in the model. We analyze different scenarios showing the significance and convenience of the proposed extension.
data warehouses spatial dimensions spatial measures spatial data warehouse design conceptual modeling