Exploratory factor analysis-based co-kriging method for spatial interpolation of multi-layered soil particle-size fractions and texture
Exploratory factor analysis-based co-kriging method for spatial interpolation of multi-layered soil particle-size fractions and texture
复制标题
基于探索性因子分析的多层土壤粒度分数和质地空间插值的协同克里金法
DOI：
10.1007/s11368-021-03044-4
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发表时间：
2021-08
影响因子：
3.6
通讯作者：
Rahman Khalil Ur
中科院分区：
文献类型：
--
作者：
Wan Heyang;Li Jiang;Shang Songhao;Rahman Khalil Ur
PurposePrecision mapping of soil texture is critical for hydrological, ecological, environmental, and agricultural modeling and field management. However, the mapping precision is generally restricted by the limited number of soil sampling and insufficient use of available information in spatial interpolation.MethodsTo map layered soil texture with higher precision, we propose an additive log-ratio (ALR) transformation and exploratory factor analysis (EFA)-based co-kriging (CK) method (ALR-EFA-CK) to study the spatial variability of multi-layered soil particle-size fractions and soil texture. In this method, the ALR transformation is used to reduce the closure effect of soil particle-size fractions as compositional data that are characterized by non-negativity and a constant sum of 100%, and EFA is used to extract common factors from variables related to soil texture that are further used as auxiliary variables of CK. Six interpolation methods, ordinary kriging (OK), traditional CK (CC-CK), and EFA-CK for both the original and ALR transformed data, were evaluated in a case study with data collected at seven soil layers of 108 sampling points in the middle reach of Heihe River basin in Northwest China.ResultsCC-CK is superior to OK by including auxiliary data in interpolation, EFA-CK is more effective in improving the interpolation precision by taking full advantages of auxiliary information, and ALR transformation can improve the interpolation precision effectively for soil particle-size fractions as compositional data.ConclusionsTherefore, the proposed ALR-EFA-CK method is beneficial in improving the interpolation precision and recommended to interpolate multi-layered soil texture.
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DOI：
10.1080/03067319008026943
发表时间：
1990-03
影响因子：
2.6
作者：
G. Rauret;M. Galceran;R. Rubio;F. Rius;M. S. Larrechi
通讯作者：
G. Rauret;M. Galceran;R. Rubio;F. Rius;M. S. Larrechi
影响因子：
4.2
作者：
R. Lark;T. Bishop
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R. Lark;T. Bishop
影响因子：
1.1
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C. Centeri;G. Jakab;S. Szabó;A. Farsang;K. Barta;Z. Szalai;Z. Biró
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C. Centeri;G. Jakab;S. Szabó;A. Farsang;K. Barta;Z. Szalai;Z. Biró
DOI：
10.4135/9781446247501.n3622
发表时间：
2021
期刊：
Encyclopedic Dictionary of Archaeology
影响因子：
--
作者：
通讯作者：
--
各种土壤粒径部分中地源和人为来源的重金属的分配和地球化学部分
影响因子：
6.1
作者：
Liu, Guannan;Wang, Juan;Dong, Liming
通讯作者：
Dong, Liming