Gaussian quantile and exceedance maps of kriging predictions

KrigingQuantile: \(\hat Z + z_p\sigma\); KrigingExceedance: \(P(Z > t) = 1 - \Phi((t - \hat Z)/\sigma)\).

Usage

KrigingQuantile(prediction, variance, p)

KrigingExceedance(prediction, variance, threshold)

Arguments

prediction

Kriging predictions.

variance

Kriging variances.

p

Probability in (0, 1).

threshold

Threshold \(t\).

Value

Numeric vector.

Examples

KrigingQuantile(c(1, 2), c(0.25, 1), 0.975)
#> [1] 1.979982 3.959964
KrigingExceedance(c(1, 2), c(0.25, 1), 1.5)
#> [1] 0.1586553 0.6914625