A New Relational Spatial OLAP Approach for Multi-resolution and Spatio-multidimensional Analysis of Incomplete Field Data

Mehdi Zaamoune, Sandro Bimonte, François Pinet, Philippe Beaune

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 Harvard Style

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


in Bibtex Style

@conference{iceis13,
author={Mehdi Zaamoune and Sandro Bimonte and François 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},
}


in EndNote Style

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