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Use of Empirical Bayesian Kriging for Revealing Heterogeneities in the Distribution of Organic Carbon on Agricultural Lands

机译:经验贝叶斯克里格探讨农业土地有机碳分布中的异质性

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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.
机译:经验贝叶斯克里格汀(EBK)是一种现代映射方法,其占函数中参数估计的不确定性,其描述了与增加测量区域(变形函数)的财产差异变化的变化。 已经将使用普通Kriging和EBK绘制的制图标记,并将关于孤立土地中的有机碳含量的数据进行比较(Greygray土壤(Greyzemic Phaeozems(遗传,ARIC))位于布莱曼斯克Opol'e地区。 结果表明,EBK误差的列表揭示了物质的空间变异性的结构,这不能被其他方法透露。 因此,可以推荐EBK方法以揭示争议病例中的异质性。

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