SoilGrids250m 2.0 - Soil pH in H2O aggregated 1000m

Soil pH x 10 in H2O at 6 standard depths (to convert to pH values divide by 10). Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 1000 m cell.

在6个标准深度下，水中土壤pH值乘以10的结果（若转换为pH值需除以10）。预测结果通过基于分位数随机森林（Quantile Random Forest）的数字土壤制图方法获得，该方法利用了全球土壤剖面数据汇编和环境图层。该地图是对每个1000米单元格的SoilGrids 250米平均预测结果（Poggio等人，2021）进行重采样的产物。