fBasics: stats-interpKrige – R documentation

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fBasics

stats-interpKrige

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 a matrix object.
`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.

Note

The function krigeInterp() requires the R package spatial.

Examples

## The akima library is not auto-installed because of a different licence.
## 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)

fBasics

Rmetrics - Markets and Basic Statistics

v3042.89.1

GPL (>= 2)

Authors

Diethelm Wuertz [aut], Tobias Setz [cre], Yohan Chalabi [ctb] Martin Maechler [ctb]

Initial release

2017-11-12

stats-interpKrige

Description

Usage

Arguments

Value

Note

See Also

Examples

fBasics

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