semat: Evaluate Kriging Standard Error of Prediction over a Grid

Description Usage Arguments Value References See Also Examples

View source: R/kr.R

Description

Evaluate Kriging standard error of prediction over a grid.

Usage

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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 x 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.

Value

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

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, trmat, prmat

Examples

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data(topo, package="MASS")
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))

spatial documentation built on May 29, 2017, 8 p.m.