Abstract
A new linear weighting method and a calibration technique tested comparatively to the proposed linear method and to inverse distance weighting method are analyzed. The proposed methods are tested for temperature estimation in inter weather stations regions, with cumulative minimum deviations from the real values. The analysis reveals that for some weather stations configurations, with certain statistical characteristics, the linear method is more efficient than the optimal parameterized inverse distance weighting method. The methods can be also used in the estimation of other spatially distributed parameters.
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