Simple kriging works by modeling the error term using a semivariogram/covariance model, and the mean value is assumed to be a constant value. In this sense, OLS does all heavy analysis on the mean value, and kriging does all heavy analysis on the error term. Regression kriging mod...
Other kriging models assume that the process follows an overall mean (or specified trend) with individual variations around this mean. Large deviations are pulled back toward the mean, so values never deviate too far. However, EBK does not assume a tendency toward an overall mean, ...
doi:10.1080/10382049908667612InformaworldInternational Research in Geographical & Environmental Education
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If your data does not meet the assumptions for the 68-95-99.7 rule, or you are unsure whether your data meets the assumptions, a more conservative confidence interval can be created based on Chebyshev's inequality. This inequality states that for any distribution that ...
Process Empirical Bayesian Kriging (EBK) by repeating various simulations. Using geostatistical analyst tools, you can perform kriging. Not only does it create a prediction surface, but it also generates a standard error so you know the level of uncertainty. ...