Bokus
H. Randy Gimblett, H. Randy Gimblett - Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulatin Social and Ecological Processes, Häftad

Häftad, Engelska, 2002

Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulatin Social and Ecological Processes

Av H. Randy Gimblett, H. Randy Gimblett

Del i serien Santa Fe Institute Studies on the Sciences of Complexity

1481 kr

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Beskrivning
For those addressing ecological and natural resource management problems this volume presents a set of coherent, cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modeling of evolutionary and non-linear processes and phenomena. Many recent advances in software algorithms for incorporating geographic data in modeling social and ecological behaviors and also the success in applying such algorithms have not been adequately written about This book fills that gap and provides much needed information on applications for the research community as well as those in the management of natural resources.
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"Nine contributions from Gimblett (U. of Arizona) and other scientists discuss the use of geographic information systems in connection with agent-based modeling techniques to dynamically simulate evolutionary, ecological, and social phenomena. The papers were originally presented at a conference held in March of 1998 at the Santa Fe Institute. Topics include, for example, spatial units as agents, models of individual decision making in simulations ofcommon-pool- resource management institutions, and mobile agents with spatial intelligence."--SciTech Book News"Nine contributions from Gimblett (U. of Arizona) and other scientists discuss the use of geographic information systems in connection with agent-based modeling techniques to dynamically simulate evolutionary, ecological, and social phenomena. The papers were originally presented at a conference held in March of 1998 at the Santa Fe Institute. Topics include, for example, spatial units as agents, models of individual decision making in simulations ofcommon-pool- resource management institutions, and mobile agents with spatial intelligence."--SciTech Book News

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