Kriging predicts a spatial random field by a linear combination of observations chosen to minimize prediction variance subject to the appropriate mean constraints. Its different forms depend on whether the mean is known, an unknown constant, or an unknown regression drift.
Kriging is a statistical interpolation technique used extensively in geostatistics, spatial analysis, and various fields such as mining, environmental science, and agriculture. It allows for the estimation of unknown values at specific locations based on known data points, taking into account both the distance and the spatial arrangement of the points. Developed by the South African engineer Danie G. Krige in the 1950s, Kriging uses a method based on the spatial correlation of the data.
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