# Bivariate Krige Interpolation

`stats-interpKrige.Rd`

Bivariate Krige Interpolation.

## 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.

## Examples

```
# \donttest{
## 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)
# }
```