bicubic: Bivariate Interpolation for Data on a Rectangular grid

In interp: Interpolation Methods

Bivariate Interpolation for Data on a Rectangular grid

Description

This is a placeholder function for backward compatibility with packaga akima.

In its current state it simply calls the reimplemented Akima algorithm for irregular grids applied to the regular gridded data given.

Later a reimplementation of the original algorithm for regular grids may follow.

Usage

bicubic(x, y, z, x0, y0)

Arguments

x	a vector containing the x coordinates of the rectangular data grid.
y	a vector containing the y coordinates of the rectangular data grid.
z	a matrix containing the z[i,j] data values for the grid points (x[i],y[j]).
x0	vector of x coordinates used to interpolate at.
y0	vector of y coordinates used to interpolate at.

Details

This function is a call wrapper for backward compatibility with package akima.

Currently it applies Akimas irregular grid splines to regular grids, later a FOSS reimplementation of his regular grid splines may replace this wrapper.

Value

This function produces a list of interpolated points:

x	vector of x coordinates.
y	vector of y coordinates.
z	vector of interpolated data z.

If you need an output grid, see bicubic.grid.

Note

Use interp for the general case of irregular gridded data!

References

Akima, H. (1996) Rectangular-Grid-Data Surface Fitting that Has the Accuracy of a Bicubic Polynomial, J. ACM 22(3), 357-361

See Also

interp, bicubic.grid

Examples

data(akima474)
# interpolate at the diagonal of the grid [0,8]x[0,10]
akima.bic <- bicubic(akima474$x,akima474$y,akima474$z,
                     seq(0,8,length=50), seq(0,10,length=50))
plot(sqrt(akima.bic$x^2+akima.bic$y^2), akima.bic$z, type="l")

interp documentation built on Nov. 28, 2023, 1:07 a.m.