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Landscape Simulation Modeling

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Table of Contents

Part 1: Theory and Methods * Introduction: Spatially Explicit Landscape Simulation Models * Modular Ecosystem Modeling * Spatial Simulation using the SME * Calibration of Large Spatial Models: A Multi-Stage, Multi-Objective Optimization Technique * Part 2: Case Studies * Habitat Changes in the Mississippi Delta: Future Scenarios and Alternatives * Development and Application of the Everglades Landscape Model * Spatial Modeling of Eelgrass Distribution in Great Bay, New Hampshire * The Patuxent Landscape Model: Integrated Modeling of a Watershed * The Fort Hood Avian Simulation Model-V: A Spatially Explicit Population Viability Model for Two Endangered Species * Simulating Land Use Alternatives and Their Impacts on a Desert Tortoise Population in the Mojave Desert, California * A Dynamic Model of the Spatial Spread of an Infectious Disease: The Case of Fox Rabies in Illinois * Landscape Optimization: Applications of a Spatial Ecosystem Model

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From the reviews: "This book is a much-needed addition to the geospatial modeling literature, providing theoretical and practical information ... . this is a valuable contribution to the literature on dynamic spatial modeling in particular, and integrated land-change research in general. ... The clearly articulated unifying theme ... and the fact that all the case studies utilize the same software, make for a well-constructed, compelling, informative, and interesting read. I will certainly evaluate this approach and program for my own work." (Maggi Kelly, Environment and Planning, Vol. 32 (2), 2005) "Landscape Simulation Modeling ... makes a significant contribution by directly incorporating space into existing simulation modeling approaches for a greater understanding of landscape systems. ... this is an excellent book. The content is comprehensive and the text written in a simple and clear style ... . the book will also appeal to many multidisciplinary practitioners ... . This book should be a required reading for anyone interested either casually or deeply in the design and implementation of spatial simulation models ... ." (Shivanand Balram, Suzana Dragicevic, Ecological Economics, Vol. 52 (1), 2005)

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