Analysis of anisotropic variogram models for prediction of the Curonian lagoon data

Abstract

The article deals with the analysis of anisotropic variogram models for prediction of the Curonian lagoon data. The anisotropy in particular environmental phenomena is detected when behavior of a physical process differs in different directions. In this paper geometrc and zonal anisotropies are considered. The results of the research demonstrate that after robust estimation, i. e. elimination of outliers and after elimination of geometric anisotropy the precision of prediction and adequacy of models are much better. All computations have been performed by means of gstat, base and spacial packages of R. system. Prediction results are compared with the results of research where outliers and geometric anisotropy were not eliminated.