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Multicriteria Decision Analysis in Geographic Information Science 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 Multicriteria Decision Analysis in Geographic Information Science 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.
Part I: Preliminaries
GIScience Approaches to MCDA
Overview of GIS-MCDA
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
Part III: Spatial MCDA: Technologies
Jacek Maczewski is associate professor of geography at the University of Western Ontario. Claus Rinner is assistant professor of geography at the University of Toronto.