The article discusses a method called Beyesian residual Kriging, which is used for predicting values at unsampled locations based on known data points. The researchers explain how this method addresses issues with estimating certain parameters in the interpolation process. By applying Beyesian Kriging theory, they developed a new approach that improves the accuracy of predictions. An example is provided to demonstrate the effectiveness of this method in practice.