FireOccurrenceLogistic
Logistic regression model for large fire occurrence probability
Description
Logistic regression model for large fire occurrence probability
Reference
source_ref: WildlandFire.jl/fsim.jl:53 Logistic regression model for large fire occurrence probability
Parameters
| Name | Units | Default | Description |
|---|---|---|---|
β₀ | Logistic regression intercept (dimensionless) | ||
β₁ | Logistic regression slope coefficient (dimensionless) | ||
ERC | Energy Release Component index (dimensionless) | ||
one | 1 | Dimensionless unity (dimensionless) |
Observed
| Name | Units | Default | Description |
|---|---|---|---|
P_fire | Probability of at least one large fire (dimensionless) |
Observed expressions
$$ P_{fire} = \frac{one}{e^{\left(-1\right) \cdot ERC \cdot β₁ + \left(-1\right) \cdot β₀} + one} $$Probability of at least one large fire (dimensionless)
Raw .esm
Raw .esm JSON (this component)
{
"variables": {
"β₀": {
"type": "parameter",
"description": "Logistic regression intercept (dimensionless)"
},
"β₁": {
"type": "parameter",
"description": "Logistic regression slope coefficient (dimensionless)"
},
"P_fire": {
"type": "unknown",
"description": "Probability of at least one large fire (dimensionless)"
},
"ERC": {
"type": "parameter",
"description": "Energy Release Component index (dimensionless)"
},
"one": {
"default": 1,
"type": "parameter",
"description": "Dimensionless unity (dimensionless)"
}
},
"reference": {
"notes": "source_ref: WildlandFire.jl/fsim.jl:53\nLogistic regression model for large fire occurrence probability"
},
"equations": [
{
"rhs": {
"args": [
"one",
{
"args": [
{
"args": [
{
"args": [
{
"args": [
-1,
"ERC",
"β₁"
],
"op": "*"
},
{
"args": [
-1,
"β₀"
],
"op": "*"
}
],
"op": "+"
}
],
"op": "exp"
},
"one"
],
"op": "+"
}
],
"op": "/"
},
"lhs": "P_fire"
}
],
"tests": [],
"analyses": []
}