expcov: Spatial Covariance Functions

In spatial: Functions for Kriging and Point Pattern Analysis

Spatial Covariance Functions

Description

Spatial covariance functions for use with surf.gls.

Usage

expcov(r, d, alpha = 0, se = 1)
gaucov(r, d, alpha = 0, se = 1)
sphercov(r, d, alpha = 0, se = 1, D = 2)

Arguments

r	vector of distances at which to evaluate the covariance
d	range parameter
alpha	proportion of nugget effect
se	standard deviation at distance zero
D	dimension of spheres.

Value

vector of covariance values.

References

Ripley, B. D. (1981) Spatial Statistics. Wiley.

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.

See Also

surf.gls

Examples

data(topo, package="MASS")
topo.kr <- surf.ls(2, topo)
correlogram(topo.kr, 25)
d <- seq(0, 7, 0.1)
lines(d, expcov(d, 0.7))

spatial documentation built on July 26, 2023, 5:33 p.m.