Abstract
It is estimated that about 80% of the data stored in databases has a spatial or location component. 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. Taking into account the growing demand to incorporate spatial data into the decision-making process, we present in this chapter how data warehouses can be extended with spatial data.
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© 2014 Springer-Verlag Berlin Heidelberg
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Vaisman, A., Zimányi, E. (2014). Spatial Data Warehouses. In: Data Warehouse Systems. Data-Centric Systems and Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54655-6_11
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DOI: https://doi.org/10.1007/978-3-642-54655-6_11
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54654-9
Online ISBN: 978-3-642-54655-6
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