R: Simulation using FFT Method

simfft {RGeostats}

R Documentation

Simulation using FFT Method

Description

Perform non-conditional monovariate simulations using FFT Method

Usage

simfft(db = NA, model = model.input(), seed = 232131, nbsimu = 1, 
       aliasing = TRUE, percent = 5, anam = NA, 
       radix = "SimFFT", modify.target = db.locmod())

Arguments

`db`	The `db-class` grid structure containing the simulated results
`model`	The `model-class` structure containing the model For more information check `check.model`.
`seed`	Seed used for the random number generator. When 0, the seed is not initialized.
`nbsimu`	Number of simulations
`aliasing`	Perform intermediate mesh discretization in order to reduce aliasing
`percent`	The simulated field must be expanded by a distance at which the covariance becomes negligible. At the extended distance (hmax), the covariance is considered as negligible if C(hmax) is smaller then a given percentage of the covariance at the origin. This percentage is defined by this parameter, expressed as a percentage: enter 5 for 5
`anam`	The `anam-class` containing the characteristics of the Anamorphosis. When defined, the simulation resulting outcome is backtransformed (from Gaussian to Raw scale) before storage.
`radix`	Radix of the name given to the variables storing the results in the target Db.
`modify.target`	Decides whether or not the newly created variables will have their locator defined or not. For more information, see `db.locmod`.

Value

The target Db where the following variables have been added: nbsimu simulations

[Package RGeostats version 14.0.10 Index]