Analysis of nonintrinsic spatial variability by residual kriging with application to regional groundwater levels
作者： Shlomo P. Neuman , Elizabeth A. Jacobson
DOI: 10.1007/BF01886329
关键词: Aquifer 、 Residual 、 Mathematics 、 Pointwise 、 Statistics 、 Hydrogeology 、 Kriging 、 Covariance 、 Soil science 、 Variogram 、 Spatial variability
摘要: A method for obtaining pointwise or spatially averaged estimates of a nonintrinsic function is introduced based on residual kriging. The relies stepwise iterative regression process simultaneously estimating the global drift and semivariogram. Estimates are then obtained by solving modified set simple kriging equations written residuals. modification consists replacing true variogram in as from process. illustrated considering groundwater levels an Arizona aquifer. results compared with those aquifer generalized covariance package BLUEPACK-3D.
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