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bnRep (version 0.0.3)

curacao1: 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 (Conservation BN). The probabilities were given in the referenced paper (input nodes are given a uniform distribution). The vertices are:

CulturalSiteProximity

(low, med, high);

FloraRichness

(low, med, high);

KeySpeciesPresence

(no, yes);

NeighborhoodConservationValue

(low, high);

NeighborhoodNaturalLandCover

(low, med, high);

SpeciesRelatedConservationValue

(low, high);

SuitabilityForConservation

(no, yes);

VisitorDemand

(low, med, high);

WatershedConservationValue

(low, high);

WSAboveMarineProtectedArea

(no, yes);

WSIncludesOtherKeyDesignations

(no, yes);

WSIncludesRAMSARArea

(no, yes);

WSLandscapeVariability

(low, med, 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.