The method according to Kriging is a generic term for stochastic interpolation as opposed to deterministic methods (e.g. distance weighting).

The Kriging algorithm determines the value in an interpolation point (x, y) by weighting all measured data:

 

Hence z_i are the measured values of the n measuring points (x_i, y_i), i=1,...n.

 

The weighting factors λ_i(x, y) not only depend on the distance between measuring and interpolation points but, corresponding to the similarity of the measured data, are computed in an equation system.

 

Creating a Variogram for the Kriging Algorithm