Using Bayesian networks to map winter habitat for mountain goats in coastal British Columbia, Canada.
An object of class bn.fit. Refer to the documentation of bnlearn for details.
A discrete Bayesian network to predict the suitability of habitats for mountain goats. Probabilities were given within the referenced paper. The vertices are:
(On Escape Terrain, <=150m away, <=300m away, >300m away);
(<=500m, <=900m, <=1300m, <=1700m, >1700m);
(Early, Mid, Mature, Old, Non-Forested);
(Observations, Random));
(Shallow, Moderate, Steep);
(Shallow, Moderate, Deep, Very Deep);
(Very Low, Low, Moderate, High, Very High));
Wilson, S. F., Nietvelt, C., Taylor, S., & Guertin, D. A. (2022). Using Bayesian networks to map winter habitat for mountain goats in coastal British Columbia, Canada. Frontiers in Environmental Science, 10, 958596.