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This study evaluates various geostatistical methods for interpolating groundwater quality data in the western Netherlands, focusing on Empirical Bayesian Kriging (EBK), which outperformed others like Simple Kriging (SK) in accuracy. The research utilized a dataset of 3033 groundwater records to assess the prediction performance of methods such as Local Polynomial Interpolation (LPI), Ordinary Kriging (OK), and Universal Kriging (UK). The findings highlight the importance of selecting appropriate interpolati

Author

azhy.akram004

Language

EN