Kriging Estimation > Kriging Estimation Models

Kriging Estimation Models

Kriging is one of the 2 main contents of geostatistics. It is also called spatial local estimation or spatial local interpolation. Based on the variogram theory and structural analysis theory, Kriging is the best way to process the best unbiased estimations with selected regionalized variables in a limited region.

The differences between Kriging and regular extimations are that Kriging can maximally employ all the information provided by spatial samples. While estimating the values of unknow points, it considers not only the value at that sample point, but also nearby point values. In addition, it also considers the spatial location between a sample point to be estimated and its nearby known sample points and the location relations between nearby sample points. It can also use the structural characteristics of the spatial distribution of known observed values to ultimately obtain a more accurate and fitting estimate than that of other traditional estimation methods.

The popular Kriging methods in geostatistics are Ordinary Kriging, Indicator Kriging, and Co-Kriging

There are 2 Kriging estimation methods according to if the mathematical expectation of the Kriging regionalized variable Z（x）is known or unknown. When ，m is a known constant, and this is also called Simple Kriging. When m is an unknown constant, this is called Ordinary Kriging.