Understanding the spatial variability of precipitation is essential for water resource management and climate adaptation, especially in arid and semi-arid regions with strong spatiotemporal ...

In recent years, geostatistical modelling has become an indispensable approach for characterising and forecasting the spatio-temporal variability of groundwater quality. These methods exploit the ...

The VARIOGRAM procedure computes the sample, or experimental semivariogram. Prediction of the spatial process at unsampled locations by techniques such as ordinary kriging requires a theoretical ...