The article explores how to predict ozone levels in areas where data is not directly measured using a method called Kriging. By analyzing spatial data and correlations, the researchers estimated the Variogram and compared two Kriging methods. They found that Kriging can accurately forecast ozone levels in locations without direct measurements, with Ordinary Kriging and Inverse Distance Kriging showing different levels of accuracy.