Supporting spatial planning with a novel method based on participatory Bayesian networks: An application in Curacao.
An object of class bn.fit. Refer to the documentation of bnlearn for details.
A discrete Bayesian network to determine land use suitability and potential conflicts for emerging land uses (Structural agriculture BN). The probabilities were given in the referenced paper (input nodes are given a uniform distribution). The vertices are:
(low, med, high);
(no, yes);
(low, med, high);
(low, high);
(yes, no);
(colluvial clay, diabase or other, limestone bare rock);
(less than 25m, between 25 and 60m, over 60m);
(low, high);
(low, high);
(low, high);
(flat, moderate, steep);
(no, yes);
(no, planned, yes);
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.