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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 multidimensional model that supports measures and dimension as continuous field data, independently of their implementation.
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Authors and Affiliations
CEMAGREF, Campus des CEZEAUX, 63173, AUBIERE, France
Sandro Bimonte
LIMOS-UMR CNRS 6158,ISIMA, Blaise Pascal University, Campus des CEZEAUX, 63173, AUBIERE, France
Myoung-Ah Kang
- Sandro Bimonte
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Editors and Affiliations
Department of Computer and Infoamtion Science, University of Genova, Via Dodecaneso, 35, 16146, Genova, Italy
Barbara Catania
Faculty of Science, Department of Mathematics and Informatics, University of Novi Sad, Trg Dositeja Obradovica 4, 21000, Novi Sad, Serbia
Mirjana Ivanović
Institute of Computer Science and Applied Mathematics, Christian-Albrechts-University of Kiel, Olshausenstr. 40, 24098, Kiel, Germany
Bernhard Thalheim
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Bimonte, S., Kang, MA. (2010). Towards a Model for the Multidimensional Analysis of Field Data. In: Catania, B., Ivanović, M., Thalheim, B. (eds) Advances in Databases and Information Systems. ADBIS 2010. Lecture Notes in Computer Science, vol 6295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15576-5_7
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