Evaluate Kriging Standard Error of Prediction over a Grid

DESCRIPTION:

Evaluate Kriging standard error of prediction over a grid.

USAGE:

semat(obj, xl, xu, yl, yu, n, se)

REQUIRED ARGUMENTS:

obj
object returned by surf.gls
xl
limits of the rectangle for grid
xu
yl
yu
n
use n x n grid within the rectangle

OPTIONAL ARGUMENTS:

se
standard error at distance zero as a multiple of the supplied covariance. Otherwise estimated, and it assumed that a correlation function was supplied.

VALUE:

list with components x, y and z suitable for passing to contour and image.

SEE ALSO:

, ,

EXAMPLES:

topo.kr <- surf.gls(2, expcov, topo, d=0.7)
prsurf <- prmat(topo.kr, 0, 6.5, 0, 6.5, 50)
contour(prsurf, levels=seq(700, 925, 25))
sesurf <- semat(topo.kr, 0, 6.5, 0, 6.5, 30)
contour(sesurf, levels=c(22,25))