Dogiye12 / Spatial-Interpolation-of-Rainfall-using-Kriging-vs-MLLinks
This project compares Kriging and Random Forest machine learning for spatial interpolation of rainfall using synthetic data in Google Earth Engine. It generates >100 random rainfall points, interpolates across a region, and visualizes differences between geostatistical and ML-based predictions.
☆15Updated last month
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