Towards a spatial multidimensional model

  • Bimonte S
  • Tchounikine A
  • Miquel M
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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.

Author-supplied keywords

  • data modelling
  • multidimensional data
  • spatial OLAP
  • spatial data

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Authors

  • Sandro Bimonte

  • Anne Tchounikine

  • Maryvonne Miquel

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