An Empirical Comparison of Kriging Methods for Nonlinear Spatial Point Prediction

By Rana Moyeed, A. Papritz. 2002

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Confronting uncertainty in model-based geostatistics using Markov Chain Monte Carlo simulation (2011, background): “To the best of our knowledge, Moyeed and Papritz (2002) are among the first to use MCMC simulation in model-based geostatistics for estimating topsoil concentrations of cobalt and copper.”
A World Malaria Map: Plasmodium falciparum Endemicity in 2007 (2009, methodology): “programming languages using the open-source Bayesian statistics package PyMC [12] and the numerical packages SciPy and NumPy [ 13 ].”
Spatial interpolation methods applied in the environmental sciences: A review (2014, methodology): “Geostatistical methods are often classified as linear or nonlinear (Moyeed and Papritz, 2002; Papritz and Moyeed, 1999).”
Multivariable geostatistics in S: the gstat package (2004, background): “, 1998), an issue that seems to be relevant especially for smaller data sets (Moyeed and Papritz, 2002).”
Probabilistic forecasts, calibration and sharpness (2007, background): “…its proponents include Staël von Holstein (1970), page 142, Seillier-Moiseiwitsch (1993), Hoeting (1994), page 33, Brocklehurst and Littlewood (1995), Frühwirth-Schnatter (1996), Raftery et al. (1997), Clements and Smith (2000), Moyeed and Papritz (2002), Wallis (2003) and Boero and Marrocu (2004).”