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

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

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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 represented in the present literature. 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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Product details

  • Hardback | 342 pages
  • 166.9 x 231.9 x 28.2mm | 716.68g
  • New York, United States
  • English
  • numerous halftones & figures
  • 0195143361
  • 9780195143362

Review quote

This book is particularly appealing for the reader interested in models that consider the environmental impacts of social dynamics, in the integration of non-commercial tools (e.g., Swarm and GRASS) and in the exploitation of intelligent agents. * Riccardo Boero, JASSS *
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Table of contents

Preface ; 1. Integrating Geographic Information Systems and Agent-Based Technologies for Modeling and Simulating Social and Ecological Phenomena ; 2. Providing a Broad Spectrum of Agents in Spatially Explicit Simulation Models: The Gensim Approach ; 3. Spatial Units as Agents: Making the Landscape an Equal Player in Agent-Based Simulations ; 4. Geographic Information Systems and Agent-Based Modeling ; 5. Management Application of an Agent-Based Model: Control of Cowbirds at the Landscape Scale ; 6. Integrating Spatial Data into an Agent-Based Modling System: Ideas and Lessons from the Development of the Across-Trophic-Level System Simulation ; 7. Models of Individual Decision Making in Agent-Based Simulation of Common-Pool-Resource Management Institutions ; 8. An Agent-Based Approach to Environmental and Urban Systems within Geographic Information Systems ; 9. Mobile Agents with Spatial Intelligence ; 10. Simulating Wildland Recreation Use and Conflicting Spatial Interactions using Rule-Driven Intelligent Agents ; 11. An Intelligent Agent-Based Model for Simulating and Evaluating River Trip Scenarios along the Colorado River in Grand Canyon National Park ; 12. Agent-Based Simulations of Household Decision Making and Land Use Change near Altamira, Brazil ; Index
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