Application of a Digital Soil Mapping Method in Producing Soil Orders on Mountain Areas of Hong Kong Based on Legacy Soil Data
文献类型：期刊论文
| 作者 | Sun Xiao-Lin1,2,3,4; Zhao Yu-Guo3,4; Zhang Gan-Lin3,4; Wu Sheng-Chun1,2,4; Man Yu-Bon1,2; Wong Ming-Hung1,2,3,4 |
| 刊名 | PEDOSPHERE
 |
| 出版日期 | 2011-06-01 |
| 卷号 | 21期号:3页码:339-350 |
| 关键词 | decision tree analysis linear discriminant analysis soil covariate selection |
| ISSN号 | 1002-0160 |
| 通讯作者 | Wong Ming-Hung(mhwong@hkbu.edu.hk) |
| 英文摘要 | Based on legacy soil data from a soil survey conducted recently in the traditional manner in Hong Kong of China, a digital soil mapping method was applied to produce soil order information for mountain areas of Hong Kong. Two modeling methods (decision tree analysis and linear discriminant analysis) were used, and their applications were compared. Much more effort was put on selecting soil covariates for modeling. First, analysis of variance (ANOVA) was used to test the variance of terrain attributes between soil orders. Then, a stepwise procedure was used to select soil covariates for linear discriminant analysis, and a backward removing procedure was developed to select soil covariates for tree modeling. At the same time, ANOVA results, as well as our knowledge and experience on soil mapping, were also taken into account for selecting soil covariates for tree modeling. Two linear discriminant models and four tree models were established finally, and their prediction performances were validated using a multiple jackknifing approach. Results showed that the discriminant model built on ANOVA results performed best, followed by the discriminant model built by stepwise, the tree model built by the backward removing procedure, the tree model built according to knowledge and experience on soil mapping, and the tree model built automatically. The results highlighted the importance of selecting soil covariates in modeling for soil mapping, and suggested the usefulness of methods used in this study for selecting soil covariates. The best discriminant model was finally selected to map soil orders for this area, and validation results showed that thus produced soil order map had a high accuracy. |
| 收录类别 | SCI |
| WOS关键词 | PREDICTION ; MODEL ; PARAMETERS ; LANDSCAPE ; RELIEF ; REGION ; MAP |
| WOS研究方向 | Agriculture |
| WOS类目 | Soil Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000291290700007 |
| 出版者 | SCIENCE CHINA PRESS |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2558892 |
| 专题 | 南京土壤研究所 |
| 通讯作者 | Wong Ming-Hung |
| 作者单位 | 1.Hong Kong Baptist Coll, Croucher Inst Environm Sci, Hong Kong, Hong Kong, Peoples R China 2.Hong Kong Baptist Coll, Dept Biol, Hong Kong, Hong Kong, Peoples R China 3.Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, Nanjing, Peoples R China 4.Chinese Acad Sci, Inst Soil Sci, Joint Open Lab Soil & Environm, Nanjing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sun Xiao-Lin,Zhao Yu-Guo,Zhang Gan-Lin,et al. Application of a Digital Soil Mapping Method in Producing Soil Orders on Mountain Areas of Hong Kong Based on Legacy Soil Data[J]. PEDOSPHERE,2011,21(3):339-350. |
| APA | Sun Xiao-Lin,Zhao Yu-Guo,Zhang Gan-Lin,Wu Sheng-Chun,Man Yu-Bon,&Wong Ming-Hung.(2011).Application of a Digital Soil Mapping Method in Producing Soil Orders on Mountain Areas of Hong Kong Based on Legacy Soil Data.PEDOSPHERE,21(3),339-350. |
| MLA | Sun Xiao-Lin,et al."Application of a Digital Soil Mapping Method in Producing Soil Orders on Mountain Areas of Hong Kong Based on Legacy Soil Data".PEDOSPHERE 21.3(2011):339-350. |
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来源：南京土壤研究所
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