Buch, Englisch, 286 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 596 g
Dealing with Doubt in Natural Resource Management
Buch, Englisch, 286 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 596 g
ISBN: 978-0-367-27601-0
Verlag: CRC Press
The focus of this book is on the kinds and implications of uncertainty in environmental modeling and management, with practical guidelines and examples for successful modeling and risk analysis in the face of uncertain conditions and incomplete information. Provided is a clear classification of uncertainty; methods for measuring, modeling, and communicating uncertainty; practical guidelines for capturing and representing expert knowledge and judgment; explanations of the role of uncertainty in decision-making; a guideline to avoiding logical fallacies when dealing with uncertainty; and several example cases of real-world ecological modeling and risk analysis to illustrate the concepts and approaches.
Case topics provide examples of structured decision-making, statistical modeling, and related topics. A summary provides practical next steps that the reader can take in analyzing and interpreting uncertainty in real-world situations. Also provided is a glossary and a suite of references.
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Biowissenschaften Biowissenschaften Biowissenschaften, Biologie: Sachbuch, Naturführer
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
- Geowissenschaften Umweltwissenschaften Umweltschutz, Umwelterhaltung
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Informationstheorie, Kodierungstheorie
- Wirtschaftswissenschaften Volkswirtschaftslehre Umweltökonomie
- Geowissenschaften Umweltwissenschaften Umwelttechnik
- Geowissenschaften Umweltwissenschaften Umweltwissenschaften
- Naturwissenschaften Biowissenschaften Biowissenschaften Ökologie
- Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
Weitere Infos & Material
Preface. What is Uncertainty? Measuring Uncertainty. Modeling Uncertainty. Communicating Uncertainty. Capturing Expert Judgment. Decision-making Under Uncertainty. Fallacies of Logic and Inference. Case Topics. Summary and Conclusions. References. Index.