
This functions generates gaussian random fields.
rgp(n, coord, cov.mod = "powexp", mean = 0, nugget = 0, sill = 1, range
= 1, smooth = 1, grid = FALSE, control = list())
Integer. The number of replications.
The locations coordinates for which the gaussian process is observed.
Character string. The covariance model used. Must be
one of "whitmat", "cauchy", "powexp" of "cauchy". See the
covariance
function.
Numeric. The mean of the gaussian random field.
Numeric. The nugget of the gaussian random field.
Numeric. The sill parameter in the covariance function.
Numeric. The range parameter in the covariance function.
Numeric. The smooth parameter in the covariance function.
Logical. Does coord
defines a grid?
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.
A matrix or an array containing the random field replicates.
link{rmaxstab}
# NOT RUN {
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)
# }
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