RFgetMethodNames: Simulation Techniques

Description Usage Details Value Automatic selection algorithm Note References See Also Examples

View source: R/getNset.R


RFgetMethodNames prints and returns a list of currently implemented methods for simulating Gaussian random fields and max stable random fields




By default, RFsimulate automatically chooses an appropriate method for simulation. The method can also be set explicitly by the user via RFoptions, in particular by passing gauss.method=_a valid method string_ as an additional argument to RFsimulate or by globally changing the options via RFoptions(gauss.method=_a valid method string_). The following methods are available:


an invisible string vector of the Gaussian methods.

Automatic selection algorithm

— details coming soon —


Most methods possess additional arguments, see RFoptions() that control the precision of the result. The default arguments are chosen such that the simulations are fine for many models and their parameters. The example in RFvariogram() shows a way of checking the precision.


Gneiting, T. and Schlather, M. (2004) Statistical modeling with covariance functions. In preparation.

Lantuejoul, Ch. (2002) Geostatistical simulation. New York: Springer.

Schlather, M. (1999) An introduction to positive definite functions and to unconditional simulation of random fields. Technical report ST 99-10, Dept. of Maths and Statistics, Lancaster University.

Original work:

See Also

RMmodel, RFsimulate, RandomFields.



RandomFields documentation built on Feb. 6, 2020, 5:13 p.m.