GeoComputational Modelling Techniques and Applications

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