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Issue title: Warehousing and OLAPing Complex, Spatial and Spatio-Temporal Data
Article type: Research Article
Authors: Bimonte, Sandro | Kang, Myoung-Ah | Paolino, Luca | Sebillo, Monica | Zaamoune, Mehdi | Vitiello, Giuliana
Affiliations: Irstea, TSCF, Campus des CEZEAUX, 63173 AUBIERE, France. sandro.bimonte@cemagref.fr | LIMOS-UMR CNRS 6158, ISIMA, Blaise Pascal University, Campus des CEZEAUX, 63173 AUBIERE, France. kang@isima.fr | Department of Management and Information Technology (DISTRA), University of Salerno, I-84084 Fisciano (SA), Italy. lpaolino@unisa.it | Department of Management and Information Technology (DISTRA), University of Salerno, I-84084 Fisciano (SA), Italy. msebillo@unisa.it | Irstea, TSCF, Campus des CEZEAUX, 63173 AUBIERE, France. mehdi.zaamoune@irstea.fr | Department of Management and Information Technology (DISTRA), University of Salerno, I-84084 Fisciano (SA), Italy. gvitiello@unisa.it
Note: [] Address for correspondence: Irstea, TSCF, Campus des CEZEAUX, 63173 AUBIERE, France
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.
DOI: 10.3233/FI-2014-1043
Journal: Fundamenta Informaticae, vol. 132, no. 2, pp. 267-290, 2014
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