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
ABSTRACT: Human activities both depend upon and have consequences on the environment. Environmental ...
Environmental report cards are popular mechanisms for summarising the overall status of an environme...
International audienceBayesian Networks are useful tools for modeling interactions and predictions i...
This overview article for the special series “Bayesian Networks in Environmental and Resource Manage...
Bayesian networks (BNs) are increasingly being used to model environmental systems, in order to: int...
Bayesian networks (BNs) are increasingly used to model environmental systems, in order to: integrate...
AbstractSeveral algorithms have been developed in the literature to solve regression problems. We pr...
Bayesian Networks (Bns) are emerging as a valid approach for modelling and supporting decision makin...
Environmental and ecological risk assessments are defined as the process for evaluating the likeliho...
Human activities both depend upon and have consequences on the environment. Environmental risk asses...
Anthropogenic transformation of land globally is threatening water resources in terms of quality and...
Bayesian Networks (BNs) are increasingly being used as decision support tools to aid the management ...
Ecological problems are typically multi faceted and need to be addressed from a scientific and a man...
Bayesian networks are a very general and powerful tool that can be used for a large number of proble...
Bayesian networks (BN) have recently experienced increased interest and diverse applications in nume...
ABSTRACT: Human activities both depend upon and have consequences on the environment. Environmental ...
Environmental report cards are popular mechanisms for summarising the overall status of an environme...
International audienceBayesian Networks are useful tools for modeling interactions and predictions i...
This overview article for the special series “Bayesian Networks in Environmental and Resource Manage...
Bayesian networks (BNs) are increasingly being used to model environmental systems, in order to: int...
Bayesian networks (BNs) are increasingly used to model environmental systems, in order to: integrate...
AbstractSeveral algorithms have been developed in the literature to solve regression problems. We pr...
Bayesian Networks (Bns) are emerging as a valid approach for modelling and supporting decision makin...
Environmental and ecological risk assessments are defined as the process for evaluating the likeliho...
Human activities both depend upon and have consequences on the environment. Environmental risk asses...
Anthropogenic transformation of land globally is threatening water resources in terms of quality and...
Bayesian Networks (BNs) are increasingly being used as decision support tools to aid the management ...
Ecological problems are typically multi faceted and need to be addressed from a scientific and a man...
Bayesian networks are a very general and powerful tool that can be used for a large number of proble...
Bayesian networks (BN) have recently experienced increased interest and diverse applications in nume...
ABSTRACT: Human activities both depend upon and have consequences on the environment. Environmental ...
Environmental report cards are popular mechanisms for summarising the overall status of an environme...
International audienceBayesian Networks are useful tools for modeling interactions and predictions i...