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bnRep (version 0.0.3)

agropastoral1: agropastoral Bayesian Networks

Description

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

Arguments

Value

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

Format

A discrete Bayesian network to explore the influence of the environment on subsistence strategies (Fig. 5 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:

Agriculture

(None, <55, >=55);

Anumal_Husbandry

(None, <25, >=25);

Annual_Temperature

(low, medium, high);

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);

Fishing

(None, <25, >=25);

Gathering

(None, <25, >=25);

Hunting

(None, <25, >=25);

Landscape

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

Monthly_Precipitation

(low, medium, high);

Monthly_Productivity

(low, medium, high);

Slope

(low, medium, high);

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.