Comparison between Kriging and Lognormal Kriging for Sulfur Data
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Abstract
This paper deals with the spatial estimation to be optimal estimate when the data have a
normal distribution. Ordinary kriging technique used in this research and lognormal
kriging after take logarithm of original data. Variogram function uses in this research to
obtain the best model of covariance function. The objective of this research is to assess the
resistance of ordinary kriging and lognormal kriging to outliers. The data adopted of this
paper from hydrogeological hydro chemical study of Mosul Governorate /Iraq. From the
results, the errors in the estimated value are critical for the log variance. These results
show that ordinary lognormal kriging is more effect than ordinary kriging technique under
outlier.
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