The majority of GIS type software systems allow generating numerical surface models on the basis of GRID type regular network of squares. Interpolation algorithms allowing computation of values at nodal points on the basis of selected measurement points are used for establishment of such a grid. The accuracy of generated surface models depends mainly on the choice of the interpolation algorithms and their computation parameters. Comparison of quality and accuracy of surface models generated by application of different algorithms seems an important issue. Statistical coefficients can be used for that purpose. The paper uses selected statistical coefficients for comparison of accuracy of interpolation models generated by application of different algorithms.

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