Kriging from Raster

Kriging from Raster is similar to the Ordinary Kriging interpolation c.q. prediction method but requires a raster map as input, instead of a point map. The operation can be seen as a raster interpolation and returns a raster map with estimations and optionally an error map. The estimations are weighted averaged input point values, similar to the Moving Average operation. The weight factors in Kriging from Raster are determined by using a user-specified semi-variogram model (based on the output of the Autocorrelation - Semivariance operation), the distribution of input pixels, and are calculated in such a way that they minimize the estimation error in each output pixel. The estimated or predicted values are thus a linear combination of the input values and have a minimum estimation error. The optional error map contains the standard errors of the estimates.

If you have an input point map, you can use the point interpolation operations Simple and Ordinary Kriging, Anisotropic Kriging, Universal Kriging and CoKriging.