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Comparison of interpolation models for estimating heavy metals in soils under various spatial characteristics and sampling methods
Liao, Yilan1,2; Li, Dongyue1,2,3; Zhang, Ningxu1,2,3
2018-04-01
Source PublicationTRANSACTIONS IN GIS
ISSN1361-1682
Volume22Issue:2Pages:409-434
Corresponding AuthorLiao, Yilan(liaoyl@lreis.ac.cn)
AbstractHeavy metal pollution in soils has become increasingly challenging, especially in developing countries. Estimating the spatial distribution of heavy metals in soils is essential to preventing their build-up. This article aims to identify the effects of spatial scales, spatial autocorrelation, sampling methods, and proportion on interpolation models in estimating the distribution of heavy metals in soils. Six interpolation models (area- and-point kriging, AAPK; inverse distance weighting, IDW; local polynomial interpolation, LP; ordinary kriging, OK; simple kriging, SK; and thin plate spline, TPS), three sampling methods (random, stratified, and systematic sampling), and five sampling proportions (1, 5, 10, 15, and 20%) are considered in this study using sets of simulated data, and the real situation was tested for verification. The results show that, in general, with the increase of spatial autocorrelation or the sampling percentage, the accuracy and stability of different interpolation models gradually increase; however, the various interpolation models have their own specific characteristics and application conditions. The best application conditions of the interpolation models compared with other models under the same situation are summarized and explained in theory. These conclusions have implications for future work.
DOI10.1111/tgis.12319
WOS KeywordHONG-KONG ; AGRICULTURAL SOILS ; SKEWED DATA ; CHINA ; IDENTIFICATION ; SEDIMENTS ; SCALE ; AREA ; INFORMATION ; SCIENCE
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41101431] ; National Natural Science Foundation of China[41531179] ; National Natural Science Foundation of China[41421001] ; National Natural Science Foundation of China[41471377] ; Young Talent Fund of the Institute of Geographic Sciences and Natural Resources Research, CAS[2012RC201] ; project coupling big data and sampling for spatial mapping[088RA200YA]
Funding OrganizationNational Natural Science Foundation of China ; Young Talent Fund of the Institute of Geographic Sciences and Natural Resources Research, CAS ; project coupling big data and sampling for spatial mapping
WOS Research AreaGeography
WOS SubjectGeography
WOS IDWOS:000430399600003
PublisherWILEY
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/57277
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLiao, Yilan
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Liao, Yilan,Li, Dongyue,Zhang, Ningxu. Comparison of interpolation models for estimating heavy metals in soils under various spatial characteristics and sampling methods[J]. TRANSACTIONS IN GIS,2018,22(2):409-434.
APA Liao, Yilan,Li, Dongyue,&Zhang, Ningxu.(2018).Comparison of interpolation models for estimating heavy metals in soils under various spatial characteristics and sampling methods.TRANSACTIONS IN GIS,22(2),409-434.
MLA Liao, Yilan,et al."Comparison of interpolation models for estimating heavy metals in soils under various spatial characteristics and sampling methods".TRANSACTIONS IN GIS 22.2(2018):409-434.
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