This volume contains selected essays of Manfred M. Fischer in the field of spatial analysis from the perspective of GeoComputation. The volume is structured in four parts, from broad issues in spatial analysis and the role of GIS to computational intelligence technologies such as neural networks. The third part provides the theoretical framework required for adaptive pattern classifiers in remote sensing environments. The final section outlines the latest in neural spatial interaction modeling.

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Spatial analysis has been in existence for a long time. More recently, GeoComputation - a new computationally intensive paradigm - is changing research practice in spatial analysis. Coupled with improvements in data availability and increases in computer memory and speed, novel perspectives and techniques from the field of computational intelligence give rise to new types of geocomputational concepts, models, and techniques in spatial analysis.

This volume contains selected essays of Manfred M. Fischer in the field of spatial analysis from the perspective of GeoComputation. The volume is structured in four parts. The first sets the context by dealing with broad issues related with spatial analysis and the role of GIS. The second relates to computational intelligence technologies such as neural networks that provide a new style of performing spatial modelling and analysis tasks in geography and other spatial sciences. The third part provides the theoretical framework required and displays the efficient use of various adaptive pattern classifiers in remote sensing environments. The final part outlines the latest, most significant developments in neural spatial interaction modelling.

The book should be read by all who seek to use geocomputational models and techniques for solving real world problems.

Manfred M. Fischer is Professor in Economic Geography and GIScience at the Vienna University of Economics and Business Administration, Austria.

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