Spatial Data Warehouses

  • Elzbieta Malinowski
  • Esteban Zimányi
Part of the Data-Centric Systems and Applications book series (DCSA)

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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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Elzbieta Malinowski
    • 1
  • Esteban Zimányi
    • 2
  1. 1.School of Computer & Information ScienceUniversidad de Costa RicaSan Pedro, San JoséCosta Rica
  2. 2.Dept. of Computer Decision Engineering (CoDE)Université Libre BruxellesBruxellesBelgium

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