slopezi_get: Get drift based on slopes

In amaendle/mvInterpolation: Performs interpolation in multidimensional settings

Description

The drift is needed for interpolation by angular distance weighting extended by slopes. Interpolation weights are based on the nearest neighbors (4 to 10 neighbors, depending on the distance).

Usage

slopezi_get(data, xinp, rad = getR, vparam = 0.1)

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
vparam	Scalar, parameter for the slopes

Value

The weights for the ADW interpolation considering slopes and 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))
slopezi_get(mydata, c(4,4,4,4))

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