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fBasics (version 2160.84)

krigeInterp: Bivariate Krige Interpolation

Description

Bivariate Krige Interpolation.

Usage

krigeInterp(x, y = NULL, z = NULL, gridPoints = 21,
    xo = seq(min(x), max(x), length = gridPoints),
    yo = seq(min(y), max(y), length = gridPoints), 
    extrap = FALSE, polDegree = 6)

Arguments

x, y, z
the arguments x and y are two numeric vectors of grid pounts, and z is a numeric matrix or any other rectangular object which can be transformed by the function as.matrix into
gridPoints
an integer value specifying the number of grid points in x and y direction.
xo, yo
two numeric vectors of data points spanning the grid.
extrap
a logical, if TRUE then the data points are extrapolated.
polDegree
the polynomial krige degree, an integer ranging between 1 and 6.

Value

  • krigeInterp returns a list with at least three entries, x, y and z. Note, that the returned values, can be directly used by the persp and contour 3D plotting methods.

See Also

akimaInterp, linearInterp.

Examples

Run this code
## krigeInterp -
   # Kriging:    
   set.seed(1953)
   x = runif(999) - 0.5
   y = runif(999) - 0.5
   z = cos(2*pi*(x^2+y^2))
   ans = krigeInterp(x, y, z, extrap = FALSE)
   persp(ans, theta = -40, phi = 30, col = "steelblue",
        xlab = "x", ylab = "y", zlab = "z")
   contour(ans)

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