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Using interpolation techniques for predicting economic activities such as a movement of cyclist is always vitiated by an error. Therefore, this paper deals with the issue of understanding the error during modelling and compares different assessing criteria for choosing the most accurate method in order to decrease error propagation. The diagnostic of interpolation methods can be calculated with cross-validation approach. In case of kriging methods, we computed the estimated prediction standard errors and we examin...