This function is used to specify a Gaussian random field that
is to be simulated or estimated.
Returns an object of class
RPgauss(phi, boxcox, stationary_only)
the one or two parameters of the box cox transformation.
If not given, the globally defined parameters are used.
Logical or NA. Used for the automatic choice of methods.
The function returns an object of class
In most cases,
RPgauss need not be given explicitly as
Gaussian random fields are assumed as default.
RPgauss may not find the fastest
method neither the most precise one. It just finds any method
among the available methods. (However, it guesses what is a good
RFgetMethodNames for further information.
Note that some of the methods do not work for all covariance
or variogram models, see
By default, all Gaussian random fields have zero mean.
Simulating with trend can be done by including
in the model.
RPgauss allows to simulate different classes of random fields,
controlled by the wrapping model:
If the submodel is a pure covariance or
variogram model, i.e. of class
corresponding centered Gaussian field is simulated.
Not only stationary fields but also non-stationary and anisotropic
models can be used, e.g. zonal anisotropy, geometrical
anisotropy, separable models, non-separable space-time models,
multiplicative or nested models;
RMmodel for a list of all available models.
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Loading required package: sp Loading required package: RandomFieldsUtils Attaching package: 'RandomFields' The following object is masked from 'package:RandomFieldsUtils': RFoptions NULL NOTE: simulation is performed with fixed random seed 0. Set 'RFoptions(seed=NA)' to make the seed arbitrary. New output format of RFsimulate: S4 object of class 'RFsp'; for a bare, but faster array format use 'RFoptions(spConform=FALSE)'. NOTE: simulation is performed with fixed random seed 0.
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