sspline (version 0.1-6)

predict.smooth.sspline: Spherical Smoothing Spline Prediction

Description

Make prediction on the sphere using the information got from a smooth.sspline object.

Usage

"predict"(object, lon, lat, grid=FALSE, ...)

Arguments

object

a smooth.sspline object

lon

the longitudes on which the prediction is to be made

lat

the latitudes on which the prediction is to be made

grid

whether the prediction is on a grid

...

other parameters, not used

Value

If grid = TRUE, return a matrix with dimension (length(lon), length(lat)); otherwise, return a vector of length = length(lon).

Details

It calls Fortran subroutine with the .Fortran interface.

References

Grace Wahba (1981), Spline Interpolation and Smoothing on the Sphere, SIAM J. SCI. STAT. COMPUT.

See Also

smooth.sspline

Examples

subdat <- WT9397[sample(nrow(WT9397), 200), 2:4]
attach(subdat)

splobj <- smooth.sspline(lon, lat, avgt)

predict(splobj, lon=seq(-180,180,len=50), lat=seq(-90,90,len=25), grid=TRUE)

detach(subdat)