Use of empirical Bayesian kriging for revealing heterogeneities in the distribution of organic carbon on agricultural lands
- Authors: Samsonova V.P.1, Blagoveshchenskii Y.N.1, Meshalkina Y.L.1
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Affiliations:
- Moscow State University
- Issue: Vol 50, No 3 (2017)
- Pages: 305-311
- Section: Soil Chemistry
- URL: https://journals.rcsi.science/1064-2293/article/view/223910
- DOI: https://doi.org/10.1134/S1064229317030103
- ID: 223910
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Abstract
Empirical Bayesian kriging (EBK) is a modern mapping method, which accounts for the uncertainty of parameter estimates in functions describing the changes in property variance with increasing the survey area (variograms). Cartograms plotted using ordinary kriging and EBK have been compared for the data on the content of organic carbon in an isolated land with agrogray soils (Greyzemic Phaeozems (Loamic, Aric)) located in the Bryansk Opol’e region. It is shown that the cartograms of EBK errors reveal the structure of the spatial variability of the property, which cannot be revealed by other methods. Thus, the EBK method can be recommended for revealing heterogeneities in disputable cases.
About the authors
V. P. Samsonova
Moscow State University
Author for correspondence.
Email: vkbun@mail.ru
Russian Federation, Moscow, 119991
Yu. N. Blagoveshchenskii
Moscow State University
Email: vkbun@mail.ru
Russian Federation, Moscow, 119991
Yu. L. Meshalkina
Moscow State University
Email: vkbun@mail.ru
Russian Federation, Moscow, 119991