Article ID Journal Published Year Pages File Type
5770415 Geoderma 2017 10 Pages PDF
Abstract
The results obtained for the three soil properties showed that QRF provided more accurate and more interpretable predicted patterns of uncertainty than RK did, while having similar performances in predicting soil properties. The use of QRF in operational DSM is therefore recommended, especially when spatial sampling of soil observations are too sparse for applying RK.
Keywords
Related Topics
Physical Sciences and Engineering Earth and Planetary Sciences Earth-Surface Processes
Preview
Using quantile regression forest to estimate uncertainty of digital soil mapping products
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