cov_spatial: Calculate spatial covariance.

In convoSPAT: Convolution-Based Nonstationary Spatial Modeling

Description

This function replaces the geoR function cov.spatial, which is now defunct. Options available in this package are: "exponential", "matern", and "gaussian".

Usage

cov_spatial(
  Dist.mat,
  cov.model = "exponential",
  cov.pars = c(1, 1),
  kappa = 0.5
)

Arguments

Dist.mat	A matrix of scaled distances.
cov.model	A string specifying the model for the correlation function; defaults to "exponential". Options available in this package are: "exponential", "matern", and "gaussian".
cov.pars	Fixed values; not used in the function.
kappa	Scalar; value of the smoothness parameter.

Value

This function returns a correlation matrix.

Examples

Distmat <- as.matrix(dist(matrix(runif(20), ncol = 2), diag = TRUE, upper = TRUE))
C <- cov_spatial( Dist.mat = Distmat )

convoSPAT documentation built on Jan. 16, 2021, 5:31 p.m.