Geocomputation may be viewed as the application of a computational science paradigm to study a wide range of problems in geographical systems contexts. This volume presents a clear, comprehensive and thoroughly state-of-the-art overview of current research, written by leading figures in the field. It provides important insights into this new and rapidly developing field and attempts to establish the principles, and to develop techniques for solving real world problems in a wide array of application domains with a catalyst to greater understanding of what geocomputation is and what it entails. The broad coverage makes it invaluable reading for resarchers and professionals in geography, environmental and economic sciences as well as for graduate students of spatial science and computer science. Preface 1. M.M.Fischer, Y.Leung, GeoComputational Modelling - Techniques and Applications: Prologue Part A:Concepts, Modelling Tools and Key Issues: 2. M.M.Fischer, Computational Neural Networks - Tools for Spatial Data Analysis; 3. X.Yao, Evolving Computational Neural Networks Through Evolutionary Computation; 4. Y.Leung, Neural and Evolutionary Computation Methods for Spatial Classification and Knowledge Acquisition; 5. M.Batty, Cellular Dynamics: Modelling Urban Growth as a Spatial Epidemic Part B:Spatial Application Domains: 6. G.Wilkinson, Spatial Pattern Recognition in Remote Sensing by Neural Networks; 7. S.Gopal, M.M.Fischer, Fuzzy ARTMAP -A Neural Classifier for Multispectral Image Classification; 8. M.M.Fischer, Neural Spatial Interaction Models; 9. G.Haag, A Neural Network Approach for Mobility Panel Analysis References List of Figures List of Tables Subject Index. -Author Index. -List of Contributors. Front Matter....Pages i-xii GeoComputational Modelling — Techniques and Applications: Prologue....Pages 1-12 Front Matter....Pages 13-13 Computational Neural Networks — Tools for Spatial Data Analysis....Pages 15-34 Evolving Computational Neural Networks Through Evolutionary Computation....Pages 35-70 Neural and Evolutionary Computation Methods for Spatial Classification and Knowledge Acquisition....Pages 71-108 Cellular Dynamics: Modelling Urban Growth as a Spatial Epidemic....Pages 109-141 Front Matter....Pages 143-143 Spatial Pattern Recognition in Remote Sensing by Neural Networks....Pages 145-164 Fuzzy ARTMAP — A Neural Classifier for Multispectral Image Classification....Pages 165-194 Neural Spatial Interaction Models....Pages 195-219 A Neural Network Approach for Mobility Panel Analysis....Pages 220-235 Back Matter....Pages 237-283 Geocomputation may be viewed as the application of a computational science paradigm to study a wide range of problems in geographical systems contexts. This volume presents a clear, comprehensive and thoroughly state-of-the-art overview of current research, written by leading figures in the field. It provides important insights into this new and rapidly developing field and attempts to establish the principles, and to develop techniques for solving real world problems in a wide array of application domains with a catalyst to greater understanding of what geocomputation is and what it entails. The broad coverage makes it invaluable reading for researchers and professionals in geography, environmental and economic sciences as well as for graduate students of spatial science and computer science Geocomputation may be viewed as the application of a computational science paradigm to study a wide range of problems in geographical systems contexts. This title develops techniques for solving real world problems in an array of application domains with a catalyst to understanding of what geocomputation is and what it entails.
