gp: Simulate a Gaussian process
In ErickChacon/day2day: Functions for Day-to-Day Data Analysis

Description Usage Arguments Details Value Author(s) Examples

gp Simulate a spatial Gaussian process given a certain covariance function.

1	gp(s1, s2, cov.model = NULL, cov.params = NULL)

`s1`	First coordinate
`s2`	Second coordinate
`cov.model`	A character or function indicating the covariance function that Should be used to compute the variance-covariance matrix
`cov.params`	A list of the parameters required by the `cov.model` function.

details.

A vector of the realization of the Gaussian Process

Erick A. Chacon-Montalvan

# Generate coordinates
N <- 1000
s1 <- 2 * runif(N)
s2 <- 2 * runif(N)
# Simulate and plot the realization of a Gaussian process
y <- gp(s1, s2, "exp_cov", list(phi = 0.05, sigma2 = 1))
plot(s1, s2, cex = y)
# Plot with ggplot
# ggplot(data.frame(s1, s2, y), aes(s1, s2, col = y)) +
#  geom_point(size = 3)