Spatial Data Prediction Based on Python: Random Forest Model Method (Part 1)
When we collect global sample data, we often want to extrapolate the entire global pattern. For example, the core analysis in the NC article titled “Soil organic carbon thresholds control fertilizer effects on carbon accrual in croplands worldwide”:From the measured data in Figure a, a global 10km resolution raster file is predicted based on the … Read more