permaBN {bnRep} | R Documentation |
permaBN Bayesian Network
Description
PermaBN: A Bayesian Network framework to help predict permafrost thaw in the Arctic.
Format
A discrete Bayesian network to simulate permafrost thaw in the continuous permafrost region of the Arctic. The probabilities were given within the referenced paper. The vertices are:
- ActiveLayerIceContent
(Low, Medium, High);
- AirTemperature
(Low, Medium, High);
- Aspect
(North, East, South, West);
- Insulation
(Low, Medium, High);
- Rain
(Low, Medium, High);
- Season
(Snow free, Snow);
- Snow
(Low, Medium, High);
- SnowDepth
(None, Low, Medium, High);
- SoilDensity
(Low, Medium, High);
- SoilMoisture
(Low, Medium, High);
- SoilTemperature
(Low, Medium, High);
- SoilWaterInput
(Low, Medium, High);
- ThawDepth
(Low, Medium, High);
- VegetationHeight
(Low, Medium, High);
Value
An object of class bn.fit
. Refer to the documentation of bnlearn
for details.
References
Beall, K., Loisel, J., & Medina-Cetina, Z. (2022). PermaBN: A Bayesian Network framework to help predict permafrost thaw in the Arctic. Ecological Informatics, 69, 101601.