A tutorial guide to geostatistics: Computing and modelling variograms and kriging

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Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables (2018, methodology): “…locations114 and spatial-autocorrelation of the dependent variable are not taken into account.115 Kriging116 Kriging is a technique developed specifically to employ knowledge about spatial autocorrelation in mod-117 eling and prediction (Matheron, 1969; Christensen, 2001; Oliver and Webster, 2014).”
From Smart Farming towards Agriculture 5.0: A Review on Crop Data Management (2020, background): “Taking into account the considerable amount of data that Smart Farming generates, there are many software applications to cope with interpolation, in general, or kriging in particular [66].”