Spatial interpolation of severely skewed data with several peak values by the approach integrating kriging and triangular irregular network interpolation
文献类型：期刊论文
| 作者 | Wu, Chunfa1,2; Wu, Jiaping2; Luo, Yongming1; Zhang, Haibo1; Teng, Ying1; DeGloria, Stephen D.3 |
| 刊名 | ENVIRONMENTAL EARTH SCIENCES
 |
| 出版日期 | 2011-07-01 |
| 卷号 | 63期号:5页码:1093-1103 |
| 关键词 | Skewed data High peak value Data transformation Triangular irregular network Spatial distribution |
| ISSN号 | 1866-6280 |
| DOI | 10.1007/s12665-010-0784-z |
| 通讯作者 | Luo, Yongming(ymluo@issas.ac.cn) |
| 英文摘要 | It was not unusual in soil and environmental studies that the distribution of data is severely skewed with several high peak values, which causes the difficulty for Kriging with data transformation to make a satisfied prediction. This paper tested an approach that integrates kriging and triangular irregular network interpolation to make predictions. A data set consisting of total Copper (Cu) concentrations of 147 soil samples, with a skewness of 4.64 and several high peak values, from a copper smelting contaminated site in Zhejiang Province, China. The original data were partitioned into two parts. One represented the holistic spatial variability, followed by lognormal distribution, and then was interpolated by lognormal ordinary kriging. The other assumed to show the local variability of the area that near to high peak values, and triangular irregular network interpolation was applied. These two predictions were integrated into one map. This map was assessed by comparing with rank-order ordinary kriging and normal score ordinary kriging using another data set consisting of 54 soil samples of Cu in the same region. According to the mean error and root mean square error, the approach integrating lognormal ordinary kriging and triangular irregular network interpolation could make improved predictions over rank-order ordinary kriging and normal score ordinary kriging for the severely skewed data with several high peak values. |
| 收录类别 | SCI |
| WOS关键词 | IDENTIFYING OUTLIERS ; COPPER CONTAMINATION ; LEAD CONTAMINATION ; METAL POLLUTION ; ORGANIC-CARBON ; HEAVY-METALS ; WASTE-WATER ; URBAN SOIL ; SITE ; STATISTICS |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Water Resources |
| WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000291486400018 |
| 出版者 | SPRINGER |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2559038 |
| 专题 | 南京土壤研究所 |
| 通讯作者 | Luo, Yongming |
| 作者单位 | 1.Chinese Acad Sci, Inst Soil Sci, Key Lab Soil Environm & Pollut Remediat, Nanjing 210008, Peoples R China 2.Zhejiang Univ, Coll Environm & Resources Sci, Hangzhou 310029, Zhejiang, Peoples R China 3.Cornell Univ, Dept Crop & Soil Sci, Ithaca, NY 14853 USA |
| 推荐引用方式 GB/T 7714 | Wu, Chunfa,Wu, Jiaping,Luo, Yongming,et al. Spatial interpolation of severely skewed data with several peak values by the approach integrating kriging and triangular irregular network interpolation[J]. ENVIRONMENTAL EARTH SCIENCES,2011,63(5):1093-1103. |
| APA | Wu, Chunfa,Wu, Jiaping,Luo, Yongming,Zhang, Haibo,Teng, Ying,&DeGloria, Stephen D..(2011).Spatial interpolation of severely skewed data with several peak values by the approach integrating kriging and triangular irregular network interpolation.ENVIRONMENTAL EARTH SCIENCES,63(5),1093-1103. |
| MLA | Wu, Chunfa,et al."Spatial interpolation of severely skewed data with several peak values by the approach integrating kriging and triangular irregular network interpolation".ENVIRONMENTAL EARTH SCIENCES 63.5(2011):1093-1103. |
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来源：南京土壤研究所
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