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Semi-Automatic Design of Spatial Data Cubes from Simulation Model Results

Semi-Automatic Design of Spatial Data Cubes from Simulation Model Results

Hadj Mahboubi (OSIATIS, Grenoble, Rhône-Alpes, France), Sandro Bimonte (Technologies et systèmes d’information pour les agrosystèmes, Institut national de recherche en sciences et technologies pour l’environnement et l’agriculture, Clermont-Ferrand, Auvergne, France), Guillaume Deffuant (Technologies et systèmes d’information pour les agrosystèmes, Institut national de recherche en sciences et technologies pour l’environnement et l’agriculture, Clermont-Ferrand, Auvergne, France), Jean-Pierre Chanet (Technologies et systèmes d’information pour les agrosystèmes, Institut national de recherche en sciences et technologies pour l’environnement et l’agriculture, Clermont-Ferrand, Auvergne, France), and François Pinet (Technologies et systèmes d’information pour les agrosystèmes, Institut national de recherche en sciences et technologies pour l’environnement et l’agriculture, Clermont-Ferrand, Auvergne, France)
Source Title: International Journal of Data Warehousing and Mining (IJDWM) 9(1)
Copyright: © 2013 | Pages: 26
DOI: 10.4018/jdwm.2013010104

Abstract

In this paper the authors present a semi-automatic method for designing and generating spatial data cubes in order to visualize and analyze the results of simulation models. In the authors approach users choose their fact of analysis, then the system derives automatically a set of possible measures, dimensions of analysis, and generates the corresponding spatial data cubes. The analysis and visualization of the spatial data cubes are carried out using appropriate SOLAP tools. They also present the SimOLAP system, developed to validate their approach.
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Background And Motivation

Our proposal investigates the use of SOLAP technologies for the multidimensional analysis of simulation model results. In this section, we introduce the main concepts SOLAP and present our motivations.

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