si_get: Get weights for interpolation by inverse distance weighting...

In amaendle/mvInterpolation: Performs interpolation in multidimensional settings

Description

Interpolation weights for inverse distance weighting of the nearest neighbors (4 to 10 neighbors, depending on the distance)

Usage

si_get(data, xinp, rad = getR)

Arguments

data	A matrix of the points for which the function is known
xinp	Coordinates, where interpolation has to be computed
rad	Function which gives the initial radius for the observations considered in the interpolation

Value

The weights for the IDW interpolation based on the nearest neighbors

Examples

mydata <- matrix(runif(10*4)*10, ncol=4)
mydata <- cbind(mydata,abs(apply(mydata,1,sum)-3),abs(apply(mydata,1,prod)-4))
si_get(mydata, c(4,4,4,4))

amaendle/mvInterpolation documentation built on May 16, 2019, 6:56 p.m.