Contents
What is the kriging variance?
The kriging variance is a quantitative measure of the smoothness of the kriging estimates. There is no smoothing when kriging at a data location, σK2 = 0.
Is kriging Stochastic?
Overview. Stochastic kriging is a metamodeling methodology developed for stochastic simulation experiments; it is based on the highly successful kriging method for the design and analysis of computer experiments.
What information does a semi variance plot give us?
The semivariogram is a plot of semivariance as a function of distance between the observations, and is the source of information used in kriging to achieve optimal weighting functions for mapping.
What is the estimation variance of kriging variance?
The estimation variance of kriging variance is: where C ¯ V V represents the covariances between sample variables, μ is Langrange parameter, and C ¯ υ i V represents the covariances between the sample variable and the estimates.
How is kriging used in geostatistics and statistics?
In statistics, originally in geostatistics, kriging or Kriging, also known as Gaussian process regression, is a method of interpolation based on Gaussian process governed by prior covariances. Under suitable assumptions on the priors, kriging gives the best linear unbiased prediction (BLUP) at unsampled locations.
How does universal kriging affect the interpolation of data?
Universal kriging, which relaxes the assumption of stationarity by allowing the mean of the values to differ in a deterministic way in different locations (e.g. through some kind of spatial trend), while only the variance is held constant across the entire field.
How is kriging used in Gaussian process regression?
Kriging is a Gaussian Process (GP) regression method that produces an interpolation function based on a covariance or variogram model derived from the data rather than any a priori model of the interpolating function.