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bnRep (version 0.0.3)

curacao2: curacao Bayesian Networks

Description

Supporting spatial planning with a novel method based on participatory Bayesian networks: An application in Curacao.

Arguments

Value

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

Format

A discrete Bayesian network to determine land use suitability and potential conflicts for emerging land uses (Tourism BN). The probabilities were given in the referenced paper (input nodes are given a uniform distribution). The vertices are:

CoastalView

(no, yes);

DistanceToTourismCore

(distant, nearby, inside);

ImmediateBeachAccess

(no, yes);

NaturalAmenities

(low, high);

NeighborhoodSafetyScore

(low, medium, high);

ProximityToPOIs

(far, near, immediate);

ProximityToSouthernCoast

(far, near, immediate);

RoadsWithin1KM

(no, yes);

SiteInfrastructure

(low, high);

SuitabilityForTourism

(no, yes);

UtilityAccess

(no, yes);

ViewExtent

(low, medium, high);

ViewQuality

(low, high);

References

Steward, R., Chopin, P., & Verburg, P. H. (2024). Supporting spatial planning with a novel method based on participatory Bayesian networks: An application in Curacao. Environmental Science & Policy, 156, 103733.