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Evaluate Kriging Standard Error of Prediction over a Grid
Usage
semat(obj, xl, xu, yl, yu, n, se)
Arguments
obj
|
object returned by surf.gls
|
xl
|
limits of the rectangle for grid
|
xu
|
|
yl
|
|
yu
|
|
n
|
use n (mu n grid within the rectangle
|
se
|
standard error at distance zero as a multiple of the supplied
covariance. Otherwise estimated, and it assumed that a correlation
function was supplied.
|
Description
Evaluate Kriging standard error of prediction over a grid.
Value
list with components x, y and z suitable for contour
and image
.
See Also
surf.gls
, trmat
, prmat
Examples
data(topo)
topo.kr <- surf.gls(2, expcov, topo, d=0.7)
prsurf <- prmat(topo.kr, 0, 6.5, 0, 6.5, 50)
contour(prsurf$x, prsurf$y, prsurf$z, levels=seq(700, 925, 25))
sesurf <- semat(topo.kr, 0, 6.5, 0, 6.5, 30)
contour(sesurf$x, sesurf$y, sesurf$z, levels=c(22,25))