loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

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

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.119.137.175

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 3: ICEIS; ISBN 978-989-8565-59-4; ISSN 2184-4992, SciTePress, 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 3: ICEIS},
year={2013},
pages={145-152},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004434501450152},
isbn={978-989-8565-59-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Enterprise Information Systems - Volume 3: 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
IS - 2184-4992
AU - Zaamoune, M.
AU - Bimonte, S.
AU - Pinet, F.
AU - Beaune, P.
PY - 2013
SP - 145
EP - 152
DO - 10.5220/0004434501450152
PB - SciTePress