2006
DOI: 10.1080/13658810600830541
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A probe mechanism to couple spatially explicit agents and landscape models in an integrated modelling framework

Abstract: Many environmental, ecological, and social problems require investigation using a mixture of landscape models, individual-based models, and some level of interaction between them. Few simulation-modelling frameworks are structured to handle both styles of model in an integrated fashion. ECO-COSM is a framework that is capable of handling complex models with both landscape and agent components. Its Probe-based architecture allows model components to have controlled access to the state of other components. The P… Show more

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Cited by 15 publications
(6 citation statements)
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References 24 publications
(29 reference statements)
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“…The capabilities to predict possible future locations of invasive plant species can aid in control and management, especially when adequate infestation data is missing, incomplete, or not yet collected. More advanced complex system modeling approaches can be used where fuzzy reasoning is integrated with geospatial agents (Graniero and Robinson 2006; Perez and Dragicevic 2010; Robinson and Graniero 2005). Enhancing the work in this article by incorporating more complex and real landscape composition as well as agent‐based approaches is in progress.…”
Section: Resultsmentioning
confidence: 99%
“…The capabilities to predict possible future locations of invasive plant species can aid in control and management, especially when adequate infestation data is missing, incomplete, or not yet collected. More advanced complex system modeling approaches can be used where fuzzy reasoning is integrated with geospatial agents (Graniero and Robinson 2006; Perez and Dragicevic 2010; Robinson and Graniero 2005). Enhancing the work in this article by incorporating more complex and real landscape composition as well as agent‐based approaches is in progress.…”
Section: Resultsmentioning
confidence: 99%
“…1996). Computational modelling and simulation research (Deadman and Gimblett 1994; Graniero and Robinson 2006; Csillag et al . 2008; Moreno et al .…”
Section: Theoretical Developmentmentioning
confidence: 99%
“…Undoubtedly, GIS and MCDA, can benefit from each other (Laaribi et al, 1996;Malczewski, 1999;Chakhar and Martel, 2003). Graniero and Robinson (2006) reported that many environmental, ecological, and social problems require investigations using a mixture of landscape models, individual-based models, and some level of interaction between them. These models are based on numerous indicators, algorithms and mathematical models (Lauro, 2013).…”
Section: Introductionmentioning
confidence: 99%