Integrating Geographic Information Systems and Agent-Based Modeling Techniques: For Understanding Social and Ecological Processes
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Overview
This volume presents a set of coherent, cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modelling 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 successes in applying such algorithms, had not been adequately reported in the literature. This book seeks to serve as the standard guide to this broad area.Synopsis
This volume presents a set of coherent, cross-referenced perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modelling 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 successes in applying such algorithms, had not been adequately reported in the literature. This book seeks to serve as the standard guide to this broad area.
Booknews
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 of common-pool- resource management institutions, and mobile agents with spatial intelligence. Annotation c. Book News, Inc., Portland, OR (booknews.com)