Spatial Analysis and GeoComputation Selected Essays [Paperback]

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.

The dissemination of digital spatial databases, coupled with the ever wider use of GISystems, is stimulating increasing interest in spatial analysis from outside the spatial sciences. The recognition of the spatial dimension in social science research sometimes yields different and more meaningful results than analysis which ignores it. The emphasis in this book is on spatial analysis from the perspective of Geo- Computation. GeoComputation is a new computational-intensive paradigm that increasingly illustrates its potential to radically change current research practice in spatial analysis. This volume contains selected essays of Manfred M. Fischer. By drawing together a number of related papers, previously scattered in space and time, the collection aims to provide important insights into novel styles to perform spatial modelling and analysis tasks. Based on the latest developments in esti- tion theory, model selection and testing this volume develops neural networks into advanced tools for non-parametric modelling and spatial interaction modelling. Spatial Analysis and GeoComputation is essentially a multi-product und- taking, in the sense that most of the contributions are multi-authored publications. All these co-authors deserve the full credit for this volume, as they have been the scientific source of the research contributions included in the present volume. This book is being published simultaneously with Innovation, Networks and Knowledge Spilloversl£¡