A New Relational Spatial OLAP Approach For Multi-resolution and Spatio-multidimensional Analysis of Incomplete Field Data - Université Clermont Auvergne
Communication Dans Un Congrès Année : 2013

A New Relational Spatial OLAP Approach For Multi-resolution and Spatio-multidimensional Analysis of Incomplete Field Data

Résumé

Integrating continuous spatial data into SOLAP systems is a new research challenge. Moreover, representation of field data at different scales or resolutions is often mandatory for an effective analysis. Thus, in this paper, we propose a logical model to integrate spatial dimensions representing incomplete field data at different resolutions in a classical SOLAP architecture.
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Dates et versions

hal-00965471 , version 1 (25-03-2014)

Identifiants

  • HAL Id : hal-00965471 , version 1

Citer

Mehdi Zaamoune, Sandro Bimonte, François Pinet, Philippe Beaune. A New Relational Spatial OLAP Approach For Multi-resolution and Spatio-multidimensional Analysis of Incomplete Field Data. ICEIS 2013 INSTICC International Conference on Enterprise Information Systems, Jul 2013, Angers, France. p. ⟨hal-00965471⟩
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