Mapping soil particle-size fractions: A comparison of compositional kriging and log-ratio kriging

doi:10.1016/j.jhydrol.2017.01.029

	Mapping soil particle-size fractions: A comparison of compositional kriging and log-ratio kriging
	Wang, Zong 1,2,3; Shi, Wenjiao 1,3,4
刊名	JOURNAL OF HYDROLOGY
	2017-03-01
卷号	546 页码:526-541
关键词	Compositional data Spatial interpolation Compositional kriging Log-ratio transformation Geostatistics Soil particle-size fractions
ISSN号	0022-1694
DOI	10.1016/j.jhydrol.2017.01.029
通讯作者	Shi, Wenjiao(shiwj@lreis.ac.cn)
英文摘要	Soil particle-size fractions (psf) as basic physical variables need to be accurately predicted for regional hydrological, ecological, geological, agricultural and environmental studies frequently. Some methods had been proposed to interpolate the spatial distributions of soil psf, but the performance of compositional kriging and different log-ratio kriging methods is still unclear. Four log-ratio transformations, including additive log-ratio (alr), centered log-ratio (clr), isometric log-ratio (ilr), and symmetry log ratio (sir), combined with ordinary kriging (log-ratio kriging: alr_OK, clr OK, ilr_OK and slr_OK) were selected to be compared with compositional kriging (CK) for the spatial prediction of soil psf in Tianlaochi of Heihe River Basin, China. Root mean squared error (RMSE), Aitchison's distance (AD), standardized residual sum of squares (STRESS) and right ratio of the predicted soil texture types (RR) were chosen to evaluate the accuracy for different interpolators. The results showed that CK had a better accuracy than the four log-ratio kriging methods. The RMSE (sand, 9.27%; silt, 7.67%; clay, 4.17%), AD (0.45), STRESS (0.60) of CK were the lowest and the RR (58.65%) was the highest in the five interpolators. The clr_OK achieved relatively better performance than the other log-ratio kriging methods. In addition, CK presented reasonable and smooth transition on mapping soil psf according to the environmental factors. The study gives insights for mapping soil psf accurately by comparing different methods for compositional data interpolation. Further researches of methods combined with ancillary variables are needed to be implemented to improve the interpolation performance. (C) 2017 Elsevier B.V. All rights reserved.
资助项目	National Natural Science Foundation of China[41371002] ; National Natural Science Foundation of China[91325204] ; Fund for Excellent Young Talents in Institute of Geographic Sciences and Natural Resources Research[2106RC201] ; Science and Technology Major Project of Qinghai Province[2015-SF-A4-1] ; State Key Laboratory of Resources and Environmental Information System
WOS关键词	SPATIAL PREDICTION ; FIELD-SCALE ; ANCILLARY DATA ; TEXTURE ; INTERPOLATION ; VARIABILITY ; MODEL ; TRANSFORMATION ; CRITERIA ; CLAY
WOS研究方向	Engineering ; Geology ; Water Resources
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000395607700043
资助机构	National Natural Science Foundation of China ; Fund for Excellent Young Talents in Institute of Geographic Sciences and Natural Resources Research ; Science and Technology Major Project of Qinghai Province ; State Key Laboratory of Resources and Environmental Information System
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/64787]
专题	中国科学院地理科学与资源研究所
通讯作者	Shi, Wenjiao
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.China Univ Geosci, Sch Earth Sci & Resources, Beijing 100083, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 4.Beijing Normal Univ, Sch Geog, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China
推荐引用方式 GB/T 7714	Wang, Zong,Shi, Wenjiao. Mapping soil particle-size fractions: A comparison of compositional kriging and log-ratio kriging[J]. JOURNAL OF HYDROLOGY,2017,546:526-541.
APA	Wang, Zong,&Shi, Wenjiao.(2017).Mapping soil particle-size fractions: A comparison of compositional kriging and log-ratio kriging.JOURNAL OF HYDROLOGY,546,526-541.
MLA	Wang, Zong,et al."Mapping soil particle-size fractions: A comparison of compositional kriging and log-ratio kriging".JOURNAL OF HYDROLOGY 546(2017):526-541.