Sandro Bimonte, Anne Tchounikine, Sergio Di Martino, Filomena Ferrucci


Pivot tables are the de-facto standard paradigm for the visualization of data in the context of multidimensional OLAP analysis. However it is recognized that they are not suited, in their original definition, to support spatio-temporal data analysis (and in particular geographical measures). In this paper, we propose the GeOlaPivot Table, a visual metaphor intended as an extension of the pivot tables specifically conceived to assist decision makers in analyzing geographical measures in spatial data warehouses. In order to show the analysis capabilities of our metaphor we describe it using an example concerning the supervision of infectious diseases in Italy. This approach represents a first effort in adapting advanced geovisualization techniques to SOLAP ones, in order to create a specific visual paradigm for Spatial OLAP able to effectively support and fully exploit spatial multidimensional analysis process. Moreover, we present an architecture for a web-based environment able to support geographical measures in SOLAP analyses exploiting the GeOlaPivot Table visual metaphor.


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Paper Citation

in Harvard Style

Bimonte S., Tchounikine A., Di Martino S. and Ferrucci F. (2007). SUPPORTING GEOGRAPHICAL MEASURES THROUGH A NEW VISUALIZATION METAPHOR IN SPATIAL OLAP . In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 5: ICEIS, ISBN 978-972-8865-92-4, pages 19-26. DOI: 10.5220/0002371100190026

in Bibtex Style

author={Sandro Bimonte and Anne Tchounikine and Sergio Di Martino and Filomena Ferrucci},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 5: ICEIS,},

in EndNote Style

JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 5: ICEIS,
SN - 978-972-8865-92-4
AU - Bimonte S.
AU - Tchounikine A.
AU - Di Martino S.
AU - Ferrucci F.
PY - 2007
SP - 19
EP - 26
DO - 10.5220/0002371100190026