R/mountaingoat.R

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

#' mountaingoat Bayesian Network
#'
#' Using Bayesian networks to map winter habitat for mountain goats in coastal British Columbia, Canada.
#'
#' @usage NULL
#'
#' @format
#' A discrete Bayesian network to predict the suitability of habitats for mountain goats. Probabilities were given within the referenced paper. The vertices are:
#' \describe{
#'   \item{Distance_Escape_Terrain}{(On Escape Terrain, <=150m away, <=300m away, >300m away);}
#'   \item{Elevation}{(<=500m, <=900m, <=1300m, <=1700m, >1700m);}
#'   \item{Forest_Age_Class}{(Early, Mid, Mature, Old, Non-Forested);}
#'   \item{Location}{(Observations, Random));}
#'   \item{Slope}{(Shallow, Moderate, Steep);}
#'   \item{Snow_Zone}{(Shallow, Moderate, Deep, Very Deep);}
#'   \item{Solar_Insolation}{(Very Low, Low, Moderate, High, Very High));}
#' }
#'
#' @return An object of class \code{bn.fit}. Refer to the documentation of \code{bnlearn} for details.
#' @keywords KDep
#' @importClassesFrom bnlearn bn.fit
#' @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.
"mountaingoat"