Spatially Explicit Individual-Based Ecological Modeling with Mobile Fuzzy Agents

  • Vincent B. Robinson
  • Phil A. Graniero


Previous theoretical work illustrated how fuzzy spatial relations can be used to control the movement of mobile agents in spatially explicit individualbased ecological models (Robinson 2002). We present a computational framework and methodology for modeling small mammals as mobile agents making decisions during the dispersal process. It is shown how this object-oriented framework can accommodate the uncertainty of geographic information as well as the inherent fuzziness of the decision process. A fuzzy decision making model is presented along with its corresponding crisp equivalent. Using a realistic landscape, simulations are used to explore model behavior relative to fuzzy compensatory and noncompensatory aggregation operators. Simulations are used to compare fuzzy versus crisp model behaviors. Results are used to evaluate relative strengths and weaknesses of each. It is shown that this approach can be used for developing individual-based models to address spatially explicit ecological problems that are dependent on being based in a geographic information systems environment.


Home Range Geographic Information System Small Mammal Mobile Agent Land Cover Type 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Vincent B. Robinson
    • 1
  • Phil A. Graniero
    • 2
  1. 1.Department of GeographyUniversity of TorontoMississaugaCanada
  2. 2.Department of Earth SciencesUniversity of WindsorWindsorCanada

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