permaBN: permaBN Bayesian Network

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

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.

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