Kriging uses a weighted average of known data points to estimate unknown values. This method considers both the distance and the degree of variation between points. The weights are derived from a semivariogram, which quantifies how spatial correlation decreases over distance. There are several types of Kriging, including Ordinary Kriging, Universal Kriging, and Indicator Kriging, each suitable for different types of data and assumptions.
