Authors:
Sandro Bimonte
1
;
Anne Tchounikine
1
;
Sergio Di Martino
2
and
Filomena Ferrucci
2
Affiliations:
1
Laboratoire d'InfoRmatique en Images et Systèmes d'information UMR CNRS 5205, INSA, France
;
2
Università di Salerno, Italy
Keyword(s):
Spatial OLAP, Data Visualization, Spatial Decision Support Systems, Human Computer Interaction.
Related
Ontology
Subjects/Areas/Topics:
Enterprise Information Systems
;
Geographical Information Systems
;
HCI on Enterprise Information Systems
;
Human-Computer Interaction
;
Internet HCI: Web Interfaces and Usability
Abstract:
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 su
pport geographical measures in SOLAP analyses exploiting the GeOlaPivot Table visual metaphor.
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