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Multicriteria Analysis for Environmental Decision-Making

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The book provides an introduction to key concepts of multicriteria analysis, and a series of case studies that illustrate its application to a variety of environmental decision-making problems, ran...
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  • 30 May 2019
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Multicriteria analysis, or MCA, has been increasingly used in environmental decision-making to support the identification of suitable courses of action by integrating factual information with value-based information collected through stakeholder engagement. Multicriteria Analysis for Environmental Decision-Making provides an introduction to the key concepts of MCA and includes a series of case studies that illustrate the application of MCA to a variety of environmental decision-making problems ranging from protected area zoning to landfill siting, and from forest restoration to environmental impact assessment of tourism infrastructures. A compact reference that can be used by researchers, practitioners and planners/decision makers, Multicriteria Analysis for Environmental Decision-Making can also serve as a textbook for undergraduate and postgraduate courses in a broad range of curricula.

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Price: £36.00
Publisher: Anthem Press
Imprint: Anthem Press
Publication Date: 30 May 2019
Trim Size: 9.00 X 6.00 in
ISBN: 9781783089543
Format: eBook
BISACs:

ARCHITECTURE / Urban & Land Use Planning, NATURE / Environmental Conservation & Protection, SCIENCE / Environmental Science ( see also Chemistry / Environmental)

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Acknowledgements; Notes on Contributors; Introduction; Chapter 1. Principles of Multicriteria Analysis; Chapter 2. A Review of MCA Applications for Nature Conservation; Chapter 3. Landfill Site Selection: Combining Spatial MCA with Stakeholder Analysis; Chapter 4. Protected Area Zoning: Integrating Spatial MCA and Multi-objective Evaluation; Chapter 5. Forest Landscape Restoration: Applying MCA to Design and Compare Options; Chapter 6. Impact Assessment of Ski Areas: Combining GIS Indicators with MCA; Chapter 7. Conclusions; References; Annex 1; Index.