Sensitivity Analysis of Parameters Affecting the Number of Data Points in Kriging Interpolation

Jun Li; Shao Hua Li; Ruo Zhu Li

doi:10.4028/www.scientific.net/AMM.318.531

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 318Sensitivity Analysis of Parameters Affecting the...

Sensitivity Analysis of Parameters Affecting the Number of Data Points in Kriging Interpolation

Abstract:

The more data used in Kriging interpolation, the more reliable the results will be, but time consumption will increase exponentially. In order to ensure as much as data be involved in interpolation and maintaining reasonable time consuming, the number of data points must be properly selected. The number of conditional data points is determined by average weight coefficient based on the deep analysis of Kriging interpolation algorithm of Geostatistics. When the average weight coefficient is small enough, finding the balance point, then accuracy and time consumption can achieve a best result. Change dimensions, grid size and the range of Variogram to analyze the sensitivity the data points selected imposed on them. The most ideal number of data points is 40-60, and the main affecting factor is calculation dimension.

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Periodical:

Applied Mechanics and Materials (Volume 318)

Pages:

531-534

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.318.531

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Online since:

May 2013

Authors:

Jun Li, Shao Hua Li, Ruo Zhu Li

Keywords:

Geostatistics, Kriging Interpolation, Range, Sensibility

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