Assessing coral reef condition indicators for local and global stressors using Bayesian networks.
An object of class bn.fit. Refer to the documentation of bnlearn for details.
A discrete Bayesian network for the evaluation of threats to reef condition globally (live coral cover). The probabilities were given within the referenced paper. The vertices are:
(Less than 0, 0-0.040, 0.040-0.122, 0.122-0.241, 0.241-0.417, More than 0.417);
(Low, High);
(Low, Medium, High);
(Ineffective, Partial, Effective);
(Low, Medium, High);
(Low, Medium, High);
(None, Severe);
(Low, Medium, High);
Carriger, J. F., Yee, S. H., & Fisher, W. S. (2021). Assessing coral reef condition indicators for local and global stressors using Bayesian networks. Integrated Environmental Assessment and Management, 17(1), 165-187.