Coupling MultiAgent GeoSimulation and Spatial OLAP for Better Geosimulation Data Analysis

Coupling MultiAgent GeoSimulation and Spatial OLAP for Better Geosimulation Data Analysis

 (Version 11/8/06)

Walid Ali, Bernard Moulin, Yvan Bédard, Marie-Josée Proulx, Sonia Rivest

Abstract: Building a good simulation model can be a lot of work. We need to specify and model the system to be simulated, implement the model, collect data on the corresponding real system (if any), verify and validate the simulation system and run the simulation. In order to test different ideas, to learn about the system behavior in new situations and to make efficient decisions, decision mak-ers need ways to explore the simulation outputs easily and rapidly. Geosimula-tion users need tools to analyse the spatial output data. In this paper we present an approach which combines spatial on-line analytical processing (SOLAP) techniques with multiagent geosimulation techniques in order to improve the ex-ploration of spatial and non-spatial data resulting from geosimulations. As an ex-ample, we present the application of our approach to the simulation of the shop-ping behavior of customers in a shopping mall.

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