Towards a spatial multidimensional model

  • Authors:
  • S. Bimonte;A. Tchounikine;M. Miquel

  • Affiliations:
  • INSA, Villeurbanne Cedex, France;INSA, Villeurbanne Cedex, France;INSA, Villeurbanne Cedex, France

  • Venue:
  • Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
  • Year:
  • 2005

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Abstract

Data warehouses and OLAP systems help to interactively analyze huge volume of data. This data, extracted from transactional databases, frequently contains spatial information which is useful for decision-making process. Integration of spatial data in multidimensional models leads to the concept of SOLAP (Spatial OLAP). Using a spatial measure as a geographical object, i.e. with geometric and descriptive attributes, raises problems regarding the aggregation operation in its semantic and implementation aspects. This paper shows the requirements for a multidimensional spatial data model and presents a multidimensional data model which is able to support complex objects as measures, inter-dependent attributes for measures and aggregation functions, use of ad-hoc aggregation functions and n to n relations between fact and dimension, in order to handle geographical data, according to its particular nature in an OLAP context.