Geostatistics

By Jean-Paul Chilbs, P. Delfiner. Technometrics, 2000

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Hard Red Winter Wheat Cultivar Responses to a pH and Aluminum Concentration Gradient (2007, background): “, 1996) by estimating the distance of sample spatial correlation (Royle et al., 1980).”
Model-based mean square error estimators for k-nearest neighbour predictions and applications using remotely sensed data for forest inventories (2009, neutral): “Correlationmodels were estimated froma random sample of about 300,000 distinct pairs (j, j′) of reference units using the standardized cross-product δ̂ j× δ̂ j′× Γ̂ j−0.5Γ̂ j′−0.5 as the dependent variable (Cressie, 1989 p 67).”
Gaussian process regression with multiple response variables (2015, methodology): “For model training, the data points for x in [−5,−1] are removed from the first output y1 and those in [4, 8] removed from y2.”
Data assimilation in the geosciences: An overview of methods, issues, and perspectives (2017, methodology): “Transformations of the variables have been practiced extensively in the geostatistical literature under the term Gaussian anamorphosis (also known as “normal-score transform”): a nonlinear function is applied to the cumulative pdf in order to make it Gaussian (Chilès & Delfiner, 2012).”