Comparison of interpolation models for estimating heavy metals in soils under various spatial characteristics and sampling methods
文献类型：期刊论文
| 作者 | Liao, Yilan1,3; Li, Dongyue1,2,3; Zhang, Ningxu1,2,3 |
| 刊名 | TRANSACTIONS IN GIS
 |
| 出版日期 | 2018-04-01 |
| 卷号 | 22期号:2页码:409-434 |
| ISSN号 | 1361-1682 |
| DOI | 10.1111/tgis.12319 |
| 通讯作者 | Liao, Yilan(liaoyl@lreis.ac.cn) |
| 英文摘要 | Heavy 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. |
| WOS关键词 | HONG-KONG ; AGRICULTURAL SOILS ; SKEWED DATA ; CHINA ; IDENTIFICATION ; SEDIMENTS ; SCALE ; AREA ; INFORMATION ; SCIENCE |
| 资助项目 | National 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] |
| WOS研究方向 | Geography |
| 语种 | 英语 |
| WOS记录号 | WOS:000430399600003 |
| 出版者 | WILEY |
| 资助机构 | National 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 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/57276]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liao, Yilan |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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