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Klappentext This volume presents a set of coherent, cross-referenced perspectives on incorporating the spatial representation andanalytical 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. Zusammenfassung This text details a variety of advances in software algorithms for incorporating geographic data in modelling social and ecological behaviours, as well as the success in applying such algorithms. It also provides information on applications for the research community. Inhaltsverzeichnis Preface 1: H. Randy Gimblett: Integrating Geographic Information Systems and Agent-Based Technologies for Modeling and Simulating Social and Ecological Phenomena 2: John Anderson: Providing a Broad Spectrum of Agents in Spatially Explicit Simulation Models: The Gensim Approach 3: Paul Box: Spatial Units as Agents: Making the Landscape an Equal Player in Agent-Based Simulations 4: James D. Westervelt: Geographic Information Systems and Agent-Based Modeling 5: Steven J. Harper, James D. Westervelt, and Ann-Marie Trame: Management Application of an Agent-Based Model: Control of Cowbirds at the Landscape Scale 6: Scott M. Duke-Sylvester and Louis J. Gross: Integrating Spatial Data into an Agent-Based Modling System: Ideas and Lessons from the Development of the Across-Trophic-Level System Simulation 7: Peter J. Deadman and Edella Schlager: Models of Individual Decision Making in Agent-Based Simulation of Common-Pool-Resource Management Institutions 8: Bin Jiang and H. Randy Gimblett: An Agent-Based Approach to Environmental and Urban Systems within Geographic Information Systems 9: Robert M. Itami: Mobile Agents with Spatial Intelligence 10: H. Randy Gimblett, Merton T. Richards, and Robert M. Itami: Simulating Wildland Recreation Use and Conflicting Spatial Interactions using Rule-Driven Intelligent Agents 11: H. Randy Gimblett et al.: An Intelligent Agent-Based Model for Simulating and Evaluating River Trip Scenarios along the Colorado River in Grand Canyon National Park 12: Kevin Lim et al.: Agent-Based Simulations of Household Decision Making and Land Use Change near Altamira, Brazil Index ...
