The chapter explains how to predict values at points not observed using kriging equations. It covers different types of kriging, linear and nonlinear, and how to calculate prediction variance. Examples show how kriging works with different data types and parameters, like semivariogram models and anisotropy. The chapter also demonstrates how to implement median-polish kriging and validate semivariograms in real cases.