R: Gaussian Random Fields Simulation

rgp {SpatialExtremes} | R Documentation

## Gaussian Random Fields Simulation

### Description

This functions generates gaussian random fields.

### Usage

    rgp(n, coord, cov.mod = "powexp", mean = 0, nugget = 0, sill = 1, range
    = 1, smooth = 1, grid = FALSE, control = list())

### Arguments

`n` | Integer. The number of replications.
`coord` | The locations coordinates for which the gaussian process is observed.
`cov.mod` | Character string. The covariance model used. Must be one of "whitmat", "cauchy", "powexp" of "cauchy". See the `covariance` function.
`mean` | Numeric. The mean of the gaussian random field.
`nugget` | Numeric. The nugget of the gaussian random field.
`sill` | Numeric. The sill parameter in the covariance function.
`range` | Numeric. The range parameter in the covariance function.
`smooth` | Numeric. The smooth parameter in the covariance function.
`grid` | Logical. Does `coord` defines a grid?
`control` | A named list with arguments 'nlines' (number of lines of the TBM simulation) and 'method' the name of the simulation method - must be one of 'exact', 'tbm' or 'circ'. If 'method' is `NULL` (default), the function tries to find the most appropriate simulation technique. If 'nlines' is `NULL` it is set to 1000.

### Value

A matrix or an array containing the random field replicates.

### Author(s)

Mathieu Ribatet

### See Also

`link{rmaxstab}`

### Examples

    x <- y <- seq(0, 20, length = 100)
    coord <- cbind(x, y)
    gp <- rgp(1, coord, cov.mod = "whitmat", grid = TRUE)
    filled.contour(x, y, gp, color.palette = terrain.colors)

[Package SpatialExtremes version 2.0-5 Index]