agropastoral4 {bnRep} | R Documentation |
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 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);
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.