An interpolation procedure used to estimate a variable at unsampled locations using weighted sums of the variable at neighboring sample points. The procedure is designed to minimize the variance of the estimation errors. As a meteorological example, kriging can be used for two-dimensional spatial interpolation of irregularly spaced observational data onto a uniform set of grid points to provide input for a numerical forecasting model.