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.

For those addressing ecological and natural resource management problems, this volume presents a set of perspectives on incorporating the spatial representation and analytical power of GIS with agent-based modelling of evolutionary and non-linear processes and phenomena.

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Bibliographic Details
Main Author: Gimblett, H. Randy
Format: eBook
Language:English
Published: New York : Oxford University Press, 2001.
Subjects:
Human geography > Mathematical models.
Human ecology > Mathematical models.
Social ecology > Mathematical models.
Regional planning > Mathematical models.
Geographic information systems.
geographic information systems.
Geographic information systems
Human ecology > Mathematical models
Human geography > Mathematical models
Regional planning > Mathematical models
Social ecology > Mathematical models
Online Access:Click for online access
Table of Contents:
  • 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 Modeling System: Ideas and Lessons from the Development of the Across-Trophic-Level System Simulation7 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 Intelligen.

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