2009 | OriginalPaper | Buchkapitel
A General-Purpose Geosimulation Infrastructure for Spatial Decision Support
verfasst von : Ivan Blecic, Arnaldo Cecchini, Giuseppe A. Trunfio
Erschienen in: Transactions on Computational Science VI
Verlag: Springer Berlin Heidelberg
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In this paper we present the general-purpose simulation infrastructure MAGI, with features and computational strategies particularly relevant for strongly geo-spatially oriented simulations. Its main characteristics are
(1)
a comprehensive approach to geosimulation modelling, with a flexible underlying meta-model formally generalising a variety of types of models, both from the cellular automata and from the agent-based family of models,
(2)
tight interoperability between GIS and the modelling environment,
(3)
computationally efficiency and
(4)
user-friendliness. Both raster and vector representation of simulated entities are allowed and managed with efficiency, which is obtained through the integration of a geometry engine implementing a core set of operations on spatial data through robust geometric algorithms, and an efficient spatial indexing strategy for moving agents. We furthermore present three test-case applications to discuss its efficiency, to present a standard operational modelling workflow within the simulation environment and to briefly illustrate its look-and-feel.