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OLAPing Field Data: A theoretical and implementation framework

Abstract : Integration of spatial data into multidimensional models leads to the concept of Spatial OLAP (SOLAP). Usually, SOLAP models exploit discrete spatial data. Few works integrate continuous field data into dimensions and measures. In this paper, we provide a formal multidimensional model that supports measures and dimension as continuous field data, independently of their implementation. We provide also a proposal for a logical model allowing aggregation of field measures in a feasible ROLAP architecture.
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Contributor : Migration Irstea Publications <>
Submitted on : Friday, May 15, 2020 - 10:04:35 PM
Last modification on : Wednesday, February 24, 2021 - 4:24:03 PM




S. Bimonte, M. Kang, L. Paolino, M. Sebillo, M. Zaamoune, et al.. OLAPing Field Data: A theoretical and implementation framework. Fundamenta Informaticae, Polskie Towarzystwo Matematyczne, 2014, 131, pp.1-25. ⟨10.3233/FI-2012-0000⟩. ⟨hal-02597032⟩



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