R/ecosystem.R

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

#' ecosystem Bayesian Network
#'
#' Evaluating the supply-demand balance of cultural ecosystem services with budget expectation in Shenzhen, China.
#'
#' @usage NULL
#'
#' @format
#' A discrete Bayesian network to infer the supply and demand match for cultural ecosystem services. Probabilities were given within the referenced paper. The vertices are:
#' \describe{
#'  \item{Bus}{Density of bus and subway stations (Low, High);}
#'  \item{Road}{Road density (Low, High);}
#'  \item{Lot}{Density of public parking lots (Low, High);}
#'  \item{Traffic}{Convenience for tourists to arrive (Low, Medium, High);}
#'  \item{Park}{Convenience for visitors after arrival (Low, Medium, High);}
#'  \item{Green}{Green space coverage rate (Low, Medium, High);}
#'  \item{Water}{Whether there is a water body or not (No, Yes);}
#'  \item{Opportunity}{Recreational convenience (Low, Medium, High);}
#'  \item{Potential}{Aesthetic value of landscape (Low, Medium, High);}
#'  \item{People}{Population density (Low, Medium, High);}
#'  \item{Supply}{CES supply of communities (Low, Medium, High);}
#'  \item{Demand}{CES demand of communities (Low, Medium, High);}
#'  \item{Budget}{Balance of supply and demand (Deficit, Balance, Surplus).}
#'  }
#'
#' @return An object of class \code{bn.fit}. Refer to the documentation of \code{bnlearn} for details.
#' @keywords ReverseTree
#' @importClassesFrom bnlearn bn.fit
#' @references Wu, J., Jin, X., Wang, H., & Feng, Z. (2022). Evaluating the supply-demand balance of cultural ecosystem services with budget expectation in Shenzhen, China. Ecological Indicators, 142, 109165.
"ecosystem"