📄 kriging3.m
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function [lambda,errorvariance] = kriging3(position,anisotropy,nu,range)% kriging is a algoritm for interpolation based on minimation of the% variances. it is based on a model for the covariances. 'lags' is a vector containing the% distances between the related values and the point to interpolate. kriging3 calculates% the factors for the related values. the interpolated value is the sum of the related values% each multiplied with lambda. % kriging3 is for use with an anisotropy factor%% usage: [lambda,errorvariance] = kriging3(position,anisotropy,nu,range)% Rolf Sidler 5.6.03% calculating the kriging factors[C] = buildbigc3(position,anisotropy,nu,range);[c] = buildsmallc3(position,anisotropy,nu,range);% comment out next line to use simple kriging[C,c] = ordinary(C,c);[lambda] = C\c';errorvariance = covcalc(0,nu,range)-sum(lambda.*c');
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