bnRep (version 0.0.3)

agropastoral4: agropastoral Bayesian Networks

Description

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

Value

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

Format

A discrete Bayesian network to explore the relationship between the environment and social decisions (Fig. 8 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);

Crop_Specialisation

(No, Yes);

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);

Exchange_InSettlement

(No, Yes);

Exchange_OutSettlement

(No, Yes);

Foraging_Intensification

(No, Yes);

Landscape

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

Monthly_Precipitation

(low, medium, high);

Monthly_Productivity

(low, medium, high);

None

(No, Yes);

Permanent_Migration

(No, Yes);

Reciprocity

(No, Yes);

Resource_Diversification

(No, Yes);

Slope

(low, medium, high);

Storage

(No, Yes);

Temporal_Migration

(No, Yes);

Transhumance

(No, Yes);

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.