simfft {RGeoS} | R Documentation |
Perform non-conditional monovariate simulations using FFT Method
simfft(db = NA, model = model.input(), seed = 232131, nbsimu = 1, aliasing = TRUE, percent = 5, radix = NA, modify.target = TRUE)
db |
The |
model |
The |
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. |
The target Db where the following variables have been added: nbsimu simulations