mountaingoat: mountaingoat Bayesian Network

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

mountaingoat Bayesian Network

Description

Using Bayesian networks to map winter habitat for mountain goats in coastal British Columbia, Canada.

Format

A discrete Bayesian network to predict the suitability of habitats for mountain goats. Probabilities were given within the referenced paper. The vertices are:

Distance_Escape_Terrain

(On Escape Terrain, <=150m away, <=300m away, >300m away);

Elevation

(<=500m, <=900m, <=1300m, <=1700m, >1700m);

Forest_Age_Class

(Early, Mid, Mature, Old, Non-Forested);

Location

(Observations, Random));

Slope

(Shallow, Moderate, Steep);

Snow_Zone

(Shallow, Moderate, Deep, Very Deep);

Solar_Insolation

(Very Low, Low, Moderate, High, Very High));

Value

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

References

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.

bnRep documentation built on April 12, 2025, 1:13 a.m.