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P. Chiasson, J. Lafleur, M. Soulie and K. T. Law, “Characterizing Spatial Variability of Clay by Geostatistics,” Canadian Geotechnical Journal, Vol. 32, No. 1, 1995, pp. 1-10. doi:10.1139/t95-001

has been cited by the following article:

• TITLE: Application of Geostatistical Models for Estimating Spatial Variability of Rock Depth

  AUTHORS: Pijush Samui, Thallak G. Sitharam

  KEYWORDS: Geostatistics, Semivariogram, Kriging

  JOURNAL NAME: Engineering, Vol.3 No.9, September 23, 2011

  ABSTRACT: Rock depth information of a site is a significant factor for geotechnical engineering and earthquake ground response analysis. In this paper, reduced level of rock at Bangalore is arrived from the 652 boreholes in the area covering 220 km2. Geostatistical modeling based on kriging (simple and ordinary) techniques has been applied for estimating reduced level of hard rock in Bangalore. The models are used to compute variance of estimated reduced level of the rock. A new type of cross-validation analysis proves the robustness of the developed models. The comparison between the simple and ordinary kriging model demonstrates that the ordinary kriging model is superior to simple kriging model in predicting reduced level of rock in the subsurface of Bangalore.