A general-purpose geosimulation infrastructure for spatial decision support

  • Authors:
  • Ivan Blecic;Arnaldo Cecchini;Giuseppe A. Trunfio

  • Affiliations:
  • Laboratory of Analysis and Models for Planning (LAMP) Department of Architecture and Planning, University of Sassari, Alghero, Italy;Laboratory of Analysis and Models for Planning (LAMP) Department of Architecture and Planning, University of Sassari, Alghero, Italy;Laboratory of Analysis and Models for Planning (LAMP) Department of Architecture and Planning, University of Sassari, Alghero, Italy

  • Venue:
  • Transactions on Computational Science VI
  • Year:
  • 2009

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Abstract

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.