Ordinary kriging as a data augmentation technique

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Why is it important?

It’s important because tropical wetlands are fragile ecosystems that provide clean water, biodiversity, and climate regulation, yet they often lack enough monitoring data. By using ordinary kriging to generate additional information, your study makes machine learning predictions of water quality more accurate. This means managers and communities can better detect pollution risks, protect wetlands, and design sustainable strategies even when field data is scarce. In short, it strengthens environmental decision‑making where reliable information is most needed.