# rgp: Gaussian Random Fields Simulation In SpatialExtremes: Modelling Spatial Extremes

## Description

This functions generates gaussian random fields.

## Usage

 ```1 2``` ```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

`link{rmaxstab}`
 ```1 2 3 4``` ```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) ```