View source: R/gmSpatialMethodParameters.R
TurningBands | R Documentation |
Create a parameter set describing a turning bands algorithm to two-point simulation, mostly for covariance or variogram-based gaussian random fields.
TurningBands(nsim = 1, nBands = 1000, seed = NULL, ...)
nsim |
number of realisations desired |
nBands |
number of bands desired for the decomposition of the 2D or 3D space in individual signals |
seed |
an object specifying if and how the random number generator should be
initialized, see |
... |
further parameters, currently ignored |
an S3-list of class "gmTurningBands" containing the few elements given as arguments to the function. This is just a compact way to provide further functions such as predict_gmSpatialModel with appropriate triggers for choosing a prediction method or another, in this case for triggering turning bands simulation.
(tbs_local = TurningBands(nsim=100, nBands=300))
## then run predict(..., pars=tbs_local)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.