Geostatistical modelling of uncertainty in soil science

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Associations between field characteristics and soybean plant performance using canonical correlation analysis (2005, methodology): “We complemented this procedure with a visual assessment of the model and the resulting kriging interpolation map, as recommended by (Goovaerts, 2001).”
Comparative soil CO2 flux measurements and geostatistical estimation methods on Masaya volcano, Nicaragua (2004, unknown): “Moreover, differences among many realizations can be used as a measure of the uncertainty of the attribute estimation [Goovaerts , 2001; Cardellini et al., 2003].”
A World Malaria Map: Plasmodium falciparum Endemicity in 2007 (2009, methodology): “programming languages using the open-source Bayesian statistics package PyMC [ 12 ] and the”
Living with Collinearity in Local Regression Models (2012, unknown): “Observe that a model’s G-statistic and M-PCI-W values should always be viewed in conjunction, as a strong G-statistic is of little use if it is coupled with a large M-PCI-W value (and vice versa); see Goovaerts (2001) for details.”
Links, comparisons and extensions of the geographically weighted regression model when used as a spatial predictor (2011, background): “more precise). Here the corresponding PCI width plots can be constructed and compared. For details use Goovaerts (2001) .”