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Chen, Y., Dang, X., Peng, H. & Bart, H. L. Outlier detection with the kernelized spatial depth function.
The precise influence of biotic mixing is regulated by its depth function.
The proposed approach is objective and based on the concept of depth function.
A depth function model was constructed to fit SOM profile distribution using a linear relation in the topsoil and a power function in the subsoil.
In this study, we defined the structure of the soil depth function to fit vertical distribution of SIC based on pedogenic knowledge across various landscapes.
The considered shift tests are mainly based on the notion of depth function, except for one test that is considered for comparison purposes.
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Statistical depth functions are being used increasingly in nonparametric multivariate data analysis.
The parameters of depth functions were mapped from environmental covariates using random forest.
Parametric and non-parametric depth functions have been used to estimate continuous soil profile properties.
Smaller depth increments can be sampled and analyzed, and that gives continuous depth functions of soil properties.
The combined use of in situ digital morphometrics and continuous depth functions of soil properties may enhance our pedological understanding.
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