simfft {RGeoS}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, radix = NA, modify.target = TRUE)

Arguments

db

The db-class grid structure containing the simulated results

model

The model-class structure containing the model

seed

Seed used for the random number generator. If the seed is set to 0, no seed is explicitely defined; the current one is kept.

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

radix

Radix of the name given to the variables storing the results in the target Db.

modify.target

When TRUE, the simulation results are set as new target variables in the output DB.

Value

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


[Package RGeoS version 9.1.1 Index]