Simulating GRFs
Example:
sigma2 <- 1
phi <- 0.2
sim2 <- grf(
n = 1024,
grid = "reg",
cov.model = "matern",
cov.pars = c(sigma2, phi)
)
## grf: generating grid 32 * 32 with 1024 points
## grf: process with 1 covariance structure(s)
## grf: nugget effect is: tausq= 0
## grf: covariance model 1 is: exponential(sigmasq=1, phi=0.2)
## grf: decomposition algorithm used is: cholesky
## grf: End of simulation procedure. Number of realizations: 1