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.

Illustrates some recent developments in the field of geocomputational modelling and aims to disseminate recent research into graduate classrooms Establishes general principles and builds solid foundations for further research and subsequent growth in geocomputational modelling Provides illustrations of geocomputational modelling in remote sensing as well as in regional science Includes supplementary material: sn.pub/extras

Autorentext
Manfred M. Fischer (born in 1947, Nuremberg, Germany) graduated in geography and mathematics from the Friedrich-Alexander University in Erlangen (Germany). He holds a Ph.D. (summa cum laude) on urban modelling from the same university (1975), and a habilitation degree in human geography from the University of Vienna (1982). Since 1988 he is professor in economic geography and GIScience at the Vienna University of Economics and Business.
For more than thirty years he has consistently made significant contributions to regional science and GIScience in general, and spatial analysis, GeoComputation and spatial econometrics in particular. He has published widely, both books and articles in more than 30 distinct academic journals.

Inhalt
1 GeoComputational Modelling Techniques and Applications: Prologue.- A: Concepts, Modelling Tools and Key Issues.- 2 Computational Neural Networks Tools for Spatial Data Analysis.- 3 Evolving Computational Neural Networks Through Evolutionary Computation.- 4 Neural and Evolutionary Computation Methods for Spatial Classification and Knowledge Acquisition.- 5 Cellular Dynamics: Modelling Urban Growth as a Spatial Epidemic.- B: Spatial Application Domains.- 6 Spatial Pattern Recognition in Remote Sensing by Neural Networks.- 7 Fuzzy ARTMAP A Neural Classifier for Multispectral Image Classification.- 8 Neural Spatial Interaction Models Manfred.- 9 A Neural Network Approach for Mobility Panel Analysis.- References.- List of Figures.- List of Tables.- Author Index.- List of Contributors.