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GOLAP - Geographical Online Analytical Processing

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2113))

Abstract

Current geographical information systems (GIS) handle large amounts of geographical data stored usually in relational databases. Database vendors developed special database plug-ins in order to make retrieval of geographical data more efficient. Basically, they implement spatial indexing techniques aimed at speeding-up spatial query processing. This approach is suitable for those spatial queries, which select objects in certain user-defined area. Similarly as on-line transaction processing (OLTP) systems evolved into on-line analytical processing (OLAP) systems for supporting more complicated analytical tasks, similar evolution can be expected in the context of geographical information analytical processing. This paper describes the GOLAP system consisting of a commercial OLAP system enriched with a spatial index. Experiments comparing efficiency of original OLAP and the extended one are presented.

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© 2001 Springer-Verlag Berlin Heidelberg

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Mikšovský, P., Kouba, Z. (2001). GOLAP - Geographical Online Analytical Processing. In: Mayr, H.C., Lazansky, J., Quirchmayr, G., Vogel, P. (eds) Database and Expert Systems Applications. DEXA 2001. Lecture Notes in Computer Science, vol 2113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44759-8_44

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  • DOI: https://doi.org/10.1007/3-540-44759-8_44

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42527-4

  • Online ISBN: 978-3-540-44759-7

  • eBook Packages: Springer Book Archive

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