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Authors: Mehdi Zaamoune 1 ; Sandro Bimonte 1 ; François Pinet 1 and Philippe Beaune 2

Affiliations: 1 IRSTEA and TSCF, France ; 2 Agaetis, France

ISBN: 978-989-8565-59-4

Keyword(s): Spatial OLAP, Incomplete Continuous Field, Multi-resolution Geographic Data.

Related Ontology Subjects/Areas/Topics: Data Warehouses and OLAP ; Databases and Information Systems Integration ; Enterprise Information Systems

Abstract: 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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Paper citation in several formats:
Zaamoune, M.; Bimonte, S.; Pinet, F. and Beaune, P. (2013). A New Relational Spatial OLAP Approach for Multi-resolution and Spatio-multidimensional Analysis of Incomplete Field Data.In Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-59-4, pages 145-152. DOI: 10.5220/0004434501450152

@conference{iceis13,
author={Mehdi Zaamoune. and Sandro Bimonte. and Fran\c{C}ois Pinet. and Philippe Beaune.},
title={A New Relational Spatial OLAP Approach for Multi-resolution and Spatio-multidimensional Analysis of Incomplete Field Data},
booktitle={Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2013},
pages={145-152},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004434501450152},
isbn={978-989-8565-59-4},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A New Relational Spatial OLAP Approach for Multi-resolution and Spatio-multidimensional Analysis of Incomplete Field Data
SN - 978-989-8565-59-4
AU - Zaamoune, M.
AU - Bimonte, S.
AU - Pinet, F.
AU - Beaune, P.
PY - 2013
SP - 145
EP - 152
DO - 10.5220/0004434501450152

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