It is estimated that about 80% of the data stored in databases has a spatial or location component [260]. Therefore, the location dimension has been widely used in data warehouse and OLAP systems. However, this dimension is usually represented in an alphanumeric, nonspatial manner (i.e., using solely the place name), since these systems are not able to manipulate spatial data. Nevertheless, it is well known that including spatial data in the analysis process can help to reveal patterns that are difficult to discover otherwise.
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© 2009 Springer-Verlag Berlin Heidelberg
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Malinowski, E., Zimányi, E. (2009). Spatial Data Warehouses. In: Advanced Data Warehouse Design. Data-Centric Systems and Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74405-4_4
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DOI: https://doi.org/10.1007/978-3-540-74405-4_4
Publisher Name: Springer, Berlin, Heidelberg
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