Fr. 262.00

Multicriteria Decision Analysis in Geographic Information Science

Anglais · Livre de poche

Expédition généralement dans un délai de 6 à 7 semaines

Description

En savoir plus

This book is intended for the GIS Science and Decision Science communities. It is primarily targeted at postgraduate students and practitioners in GIS and urban, regional and environmental planning as well as applied decision analysis. It is also suitable for those studying and working with spatial decision support systems. The main objectives of this book are to effectivley integrate Multicriteria Decision Analysis (MCDA) into Geographic Information Science (GIScience), to provide a comprehensive account of theories, methods, technologies and tools for tackling spatial decision problems and to demonstrate how the GIS-MCDA approaches can be used in a wide range of planning and management situations.

Table des matières

Part I: Preliminaries.- GIScience Approaches to MCDA.- Overview of GIS-MCDA.- GIS-MCDA: A.- Survey of the Literature.- Part II: Spatial MCDA: Methods.-Multiattribute Decision Analysis Methods.- Multiobjective Optimization Methods.- Artificial Intelligence Methods.- Dealing with Uncertainties.- Geographic Visualisation and MCDA.- Multi-scale GIS-MCDA.- Spatial-temporal MCDA.- Part III: Spatial MCDA: Technologies.- Desktop GIS-MCDA.- Client/Server-based GIWS-MCDA.

A propos de l'auteur

Jacek Maczewski is professor of geography at the University of Western Ontario, Claus Rinner is associate professor of geography at Ryerson University.

Résumé

This book is intended for the GIS Science and Decision Science communities. It is primarily targeted at postgraduate students and practitioners in GIS and urban, regional and environmental planning as well as applied decision analysis. It is also suitable for those studying and working with spatial decision support systems. The main objectives of this book are to effectivley integrate Multicriteria Decision Analysis (MCDA) into Geographic Information Science (GIScience), to provide a comprehensive account of theories, methods, technologies and tools for tackling spatial decision problems and to demonstrate how the GIS-MCDA approaches can be used in a wide range of planning and management situations.

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