Spatial interpolation is a method used to estimate values at unsampled locations based on known data points. In this article, the inverse-distance weighting (IDW) method is introduced, which calculates predictions by giving more weight to nearby points. The researchers discuss how different parameters in the IDW method can affect the accuracy of the predictions. They also mention limitations and potential issues with the algorithm, as well as an extension of the method.