coral4: coral Bayesian Networks

In bnRep: A Repository of Bayesian Networks from the Academic Literature

coral Bayesian Networks

Description

Assessing coral reef condition indicators for local and global stressors using Bayesian networks.

Format

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:

LiveCoralCover

(Less than 0, 0-0.040, 0.040-0.122, 0.122-0.241, 0.241-0.417, More than 0.417);

AcidificationThreat

(Low, High);

CoastalDevelopmentThreat

(Low, Medium, High);

ManagementEffectiveness

(Ineffective, Partial, Effective);

MarineBasedPollutionThreat

(Low, Medium, High);

Overfishing

(Low, Medium, High);

ThermalStress

(None, Severe);

WatershedBasedPollutionThreat

(Low, Medium, High);

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

References

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.

bnRep documentation built on June 8, 2025, 9:34 p.m.