agropastoral2: agropastoral Bayesian Networks

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

agropastoral Bayesian Networks

Description

Exploring the role of ecology and social organisation in agropastoral societies: A Bayesian network approach.

Format

A discrete Bayesian network to explore the relationship between the environment and social organisation (Fig. 6 of the paper). The structure of the BN was given within the referenced paper together with a dataset. Probabilities were learned using the dataset and the discretization mentioned in the paper. The vertices are:

Annual_Temperature

(low, medium, high);

Community_Size

(<200, >=200)

CV_Annual_Precipitation

(low, medium, high);

CV_Annual_Productivity

(low, medium, high);

CV_Annual_Temperature

(low, medium, high);

Distance_Coast

(low, medium, high);

Elevation

(low, medium, high);

Landscape

(Aquatic, Tundra, Desert, Forest, Grassland);

Monthly_Precipitation

(low, medium, high);

Monthly_Productivity

(low, medium, high);

Slope

(low, medium, high);

Value

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

References

Palacios, O., Barceló, J. A., & Delgado, R. (2022). Exploring the role of ecology and social organisation in agropastoral societies: A Bayesian network approach. Plos One, 17(10), e0276088.

bnRep documentation built on April 12, 2025, 1:13 a.m.