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2008•Journal of Northwest UniversityRequires access

Ordinary Kriging algorithm applied for interpolation

Gong Xiao-ping

Open publisher page 8 citations

Abstract

Aim To improve the accuracy of calculation of reserves.Methods Appling ordinary Kriging interpolation compensate for the lack of data.Ordinary Kriging is an exact interpolator;that is,Kriging estimates are unbiased,so the expected value of the estimates is the same as the expected value of the observations.Results Forecast parameters average is 106.39,kurtosis is-0.30,Maximum is 148.76,standard deviation is 27.57,Skewness is-1.12,minimum is 53.91;cross validation parameters:desired value is 10.86.Conclusion By using of cross-examination,QQ-plot,forecast histogram,and the result show that Ordinary Kriging predicted to be better.

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What this paper is about

Aim To improve the accuracy of calculation of reserves.Methods Appling ordinary Kriging interpolation compensate for the lack of data.Ordinary Kriging is an exact interpolator;that is,Kriging estimates are unbiased,so the expected value of the estimates is the same as the expected value of the observations.Results Forecast parameters average is 106.39,kurtosis is-0.30,Maximum is 148.76,standard deviation is 27.57,Skewness is-1.12,minimum is 53.91;cross validation parameters:desired value is 10.86.Conclusion By using of cross-examination,QQ-plot,forecast histogram,and the result show that Ordinary Kriging predicted to be better.

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Available abstract

Aim To improve the accuracy of calculation of reserves.Methods Appling ordinary Kriging interpolation compensate for the lack of data.Ordinary Kriging is an exact interpolator;that is,Kriging estimates are unbiased,so the expected value of the estimates is the same as the expected value of the observations.Results Forecast parameters average is 106.39,kurtosis is-0.30,Maximum is 148.76,standard deviation is 27.57,Skewness is-1.12,minimum is 53.91;cross validation parameters:desired value is 10.86.Conclusion By using of cross-examination,QQ-plot,forecast histogram,and the result show that Ordinary Kriging predicted to be better.

Key concepts: Kriging, Kurtosis, Interpolation (computer graphics), Skewness, Mathematics, Histogram, Standard deviation, Value (mathematics)

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