mountaingoat {bnRep} | R Documentation |
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.