Exploring the Sensitivity of Fuzzy Decision Models to Landscape Information Inputs in a Spatially Explicit Individual-Based Ecological Model

摘要: This is part of an ongoing exploration incorporating fuzzy logic into spatially explicit, individual-based ecological models dispersal. Following the theoretical discussion Robinson (2002), a prototypical model small mammal dispersal behavior was used to demonstrate how control agents could be implemented (Robinson and Graniero 2005a). The implementation showed Extensible Component Objects for Constructing Observable Simulation Models (ECO-COSM) system loosely coupled with geographic information (GIS) database explicit simulation modeling individual (Graniero 2006). If problem viewed from geocomputational management perspective, we can say that animal agent must able query state relevant GIS layers within its local perceptual range use make decisions regarding movement behavior. Its inturn leads eventually change in agent. Within ECO-COSM framework, this handled by Probe mechanism. By obtaining Probes Probeable landscape , acquire inventory world Thus, general approach consistent Bian’s (2003) hybrid representing modeling, which incorporates traditional grid environment object-oriented organisms.