Bayesian networks in environmental and resource management
Copyright policy )Bayesian networks in environmental and resource management
Abstract This overview article for the special series, “Bayesian Networks in Environmental and Resource Management,” reviews 7 case study articles with the aim to compare Bayesian network (BN) applications to different environmental and resource management problems from around the world. The article discusses advances in the last decade in the use of BNs as applied to environmental and resource management. We highlight progress in computational methods, best-practices for model design and model communication. We review several research challenges to the use of BNs in environmental and resource management that we think may find a solution in the near future with further research attention. Integr Environ Assess Manag 2012; 8: 418–429. © 2012 SETAC
- Queensland University of Technology Australia
- Norwegian Institute for Nature Research Norway
- Dartmouth College United States
- Finnish Environment Institute Finland
- Geological Survey of Finland Finland
ta212, Conservation of Natural Resources, 330, Risk analysis, ta1172, Decision Making, Bayes Theorem, Environment, Models, Theoretical, Decision analysis, Bayesian networks, DPSIR, ta519, Ecological economic modeling, ta116, ta512, ta218
ta212, Conservation of Natural Resources, 330, Risk analysis, ta1172, Decision Making, Bayes Theorem, Environment, Models, Theoretical, Decision analysis, Bayesian networks, DPSIR, ta519, Ecological economic modeling, ta116, ta512, ta218
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