Geostatistics uses kriging to predict values of a spatial process at unknown locations based on known values. Kriging gives optimized estimates and uncertainties in predictions. To use kriging, the covariance structure of the spatial process must be known, which is determined using the variogram. A rainfall dataset was used to demonstrate these methods and some geostatistical extensions.