simulationDecompose: Kriging Simulation: Decomposition

In SPOT: Sequential Parameter Optimization Toolbox

Kriging Simulation: Decomposition

Description

(Conditional) Simulation via decomposition approach.

Usage

simulationDecompose(
  object,
  nsim = 1,
  xsim,
  conditionalSimulation = TRUE,
  returnAll = FALSE,
  ...
)

Arguments

object	fit of the Kriging model (settings and parameters), of class kriging.
nsim	number of simulations
xsim	list of samples in input space, to be simulated
conditionalSimulation	logical, if set to TRUE (default), the simulation is conditioned with the training data of the Kriging model. Else, the simulation is non-conditional.
returnAll	if set to TRUE, a list with the simulated values (y) and the corresponding covariance matrix (covar) of the simulated samples is returned.
...	further arguments, not used

Value

Returned value depends on the setting of object$simulationReturnAll

References

N. A. Cressie. Statistics for Spatial Data. JOHN WILEY & SONS INC, 1993.

C. Lantuejoul. Geostatistical Simulation - Models and Algorithms. Springer-Verlag Berlin Heidelberg, 2002.

See Also

buildKriging, simulationSpectral

SPOT documentation built on June 26, 2022, 1:06 a.m.