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A Survey of Spatio-Temporal Data Warehousing

Author

Listed:
  • Leticia Gómez

    (Instituto Tecnológico de Buenos Aires, Argentina)

  • Bart Kuijpers

    (Hasselt University and Transnational University of Limburg, Belgium)

  • Bart Moelans

    (Hasselt University and Transnational University of Limburg, Belgium)

  • Alejandro Vaisman

    (Hasselt University, Belgium)

Abstract

Geographic Information Systems (GIS) have been extensively used in various application domains, ranging from economical, ecological and demographic analysis, to city and route planning. Nowadays, organizations need sophisticated GIS-based Decision Support System (DSS) to analyze their data with respect to geographic information, represented not only as attribute data, but also in maps. Thus, vendors are increasingly integrating their products, leading to the concept of SOLAP (Spatial OLAP). Also, in the last years, and motivated by the explosive growth in the use of PDA devices, the field of moving object data has been receiving attention from the GIS community. However, not much has been done in providing moving object databases with OLAP functionality. In the first part of this article we survey the SOLAP literature. We then move to Spatio-Temporal OLAP, in particular addressing the problem of trajectory analysis. We finally provide an in-depth comparative analysis between two proposals introduced in the context of the GeoPKDD EU project: the Hermes-MDC system, and Piet, a proposal for SOLAP and moving objects, developed at the University of Buenos Aires, Argentina.

Suggested Citation

  • Leticia Gómez & Bart Kuijpers & Bart Moelans & Alejandro Vaisman, 2009. "A Survey of Spatio-Temporal Data Warehousing," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 5(3), pages 28-55, July.
  • Handle: RePEc:igg:jdwm00:v:5:y:2009:i:3:p:28-55
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