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Towards a Model for the Multidimensional Analysis of Field Data

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Part of the book series:Lecture Notes in Computer Science ((LNISA,volume 6295))

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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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Author information

Authors and Affiliations

  1. CEMAGREF, Campus des CEZEAUX, 63173, AUBIERE, France

    Sandro Bimonte

  2. LIMOS-UMR CNRS 6158,ISIMA, Blaise Pascal University, Campus des CEZEAUX, 63173, AUBIERE, France

    Myoung-Ah Kang

Authors
  1. Sandro Bimonte

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  2. Myoung-Ah Kang

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Editor information

Editors and Affiliations

  1. Department of Computer and Infoamtion Science, University of Genova, Via Dodecaneso, 35, 16146, Genova, Italy

    Barbara Catania

  2. Faculty of Science, Department of Mathematics and Informatics, University of Novi Sad, Trg Dositeja Obradovica 4, 21000, Novi Sad, Serbia

    Mirjana Ivanović

  3. Institute of Computer Science and Applied Mathematics, Christian-Albrechts-University of Kiel, Olshausenstr. 40, 24098, Kiel, Germany

    Bernhard Thalheim

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© 2010 Springer-Verlag Berlin Heidelberg

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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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