Interpolationkriging Method (InArraySingle, InArraySingle, InArraySingle, FuncInArraySingle, RetArraySingle, OutArraySingle)

public static RetArray<float> kriging(
	InArray<float> V,
	InArray<float> X,
	InArray<float> Xn,
	Func<InArray<float>, RetArray<float>> variogram = null,
	OutArray<float> error = null
)

Public Shared Function kriging ( 
	V As InArray(Of Single),
	X As InArray(Of Single),
	Xn As InArray(Of Single),
	Optional variogram As Func(Of InArray(Of Single), RetArray(Of Single)) = Nothing,
	Optional error As OutArray(Of Single) = Nothing
) As RetArray(Of Single)

Dim V As InArray(Of Single)
Dim X As InArray(Of Single)
Dim Xn As InArray(Of Single)
Dim variogram As Func(Of InArray(Of Single), RetArray(Of Single))
Dim error As OutArray(Of Single)
Dim returnValue As RetArray(Of Single)

returnValue = Interpolation.kriging(V, X, Xn, 
	variogram, error)

Parameters

V

Type: ILNumericsInArraySingle
Data values, matrix with measured values at the n data points provided by X. Size [k x n].

X

Type: ILNumericsInArraySingle
Data points, matrix with sample locations of dimension m in n columns. At least 2 samples must be provided.

Xn

Type: ILNumericsInArraySingle
New points to compute interpolated values for. The format corresponds to the X parameter. Size [k x l].

variogram (Optional)

Type: SystemFuncInArraySingle, RetArraySingle
[Optional] Variogram function of the euclidian distances. Default: PowerLawVariogram(InArrayDouble)

error (Optional)

Type: ILNumericsOutArraySingle
[Optional] if not null on input error information will be returned.

Return Value

The interpolation is based on the geometrical relation of the points provided in X. The algorithm will remove any points being too close to each in order to increase stability of the algorithm.

While the default variogram function is fine in most situations one can provide a custom variogram function to the interpolation.

More details are found in the online documentation.

[ILNumerics Interpolation Toolbox]

Reference