Accounting for differences in costs among sampling locations in optimal stratification
文献类型：期刊论文
| 作者 | Brus, D. J.1,2; Yang, L.3,4 ; Zhu, A. X.1,4,5
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| 刊名 | EUROPEAN JOURNAL OF SOIL SCIENCE
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| 出版日期 | 2019 |
| 卷号 | 70期号:1页码:200-212 |
| ISSN号 | 1351-0754 |
| DOI | 10.1111/ejss.12731 |
| 通讯作者 | Brus, D. J.(dick.brus@wur.nl) |
| 英文摘要 | In areas with marked differences in accessibility, the cost efficiency of design-based sampling strategies for estimating the population mean or total can be increased by accounting for these differences in the selection of the sampling locations. This can be achieved by stratified random sampling. The question then is how to construct the strata. Existing optimal stratification methods such as cum root f stratification assume a constant cost among the sampling units, and therefore can be suboptimal when this assumption is violated. A simulated annealing algorithm is proposed for simultaneous optimization of the stratum breaks and the sample size under optimal allocation of the sample size, given a chosen maximum for the expected total costs. The proposed stratification method is tested in a study area of 5900 km(2) in Anhui province, China. Optimal stratum breaks were computed for estimating the population mean of the soil organic matter content (SOM). Predictions of SOM from a multiple linear regression model were used as a stratification variable. The optimal stratum breaks differed markedly from the cum root f breaks. The variance of the estimated mean of SOM using the optimal stratification was about 8 to 29% smaller than with the cum root f stratification, depending on the number of strata. This large gain in precision can be explained by the moderately strong correlation of the point-wise costs and the stratification variable. Smaller gains are expected when this correlation is weaker or the variation in costs among the units are smaller. The proposed algorithm can also be used when no ancillary variable related to the variable of interest is available, accounting for differences in costs among the sampling units only. An R script with functions is provided as supporting information. |
| WOS关键词 | SOIL ; VALIDATION ; SCALE |
| 资助项目 | National Natural Science Foundation of China[41471178] ; National Natural Science Foundation of China[41431177] |
| WOS研究方向 | Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:000457540900020 |
| 出版者 | WILEY |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/49885]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Brus, D. J. |
| 作者单位 | 1.Nanjing Normal Univ, Sch Geog, Jiangsu Ctr Collaborat Innovat Geog Informat Res, 1 Wenyuan Rd, Nanjing 210023, Jiangsu, Peoples R China 2.Wageningen Univ & Res, Biometris, POB 16, NL-6700 AA Wageningen, Netherlands 3.Nanjing Univ, Sch Geog & Ocean Sci, 163 Xianlin Rd, Nanjing 210023, Jiangsu, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Resources Res, State Key Lab Resources & Environm Informat Syst, 11A Datun Rd, Beijing 100101, Peoples R China 5.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA |
| 推荐引用方式 GB/T 7714 | Brus, D. J.,Yang, L.,Zhu, A. X.. Accounting for differences in costs among sampling locations in optimal stratification[J]. EUROPEAN JOURNAL OF SOIL SCIENCE,2019,70(1):200-212. |
| APA | Brus, D. J.,Yang, L.,&Zhu, A. X..(2019).Accounting for differences in costs among sampling locations in optimal stratification.EUROPEAN JOURNAL OF SOIL SCIENCE,70(1),200-212. |
| MLA | Brus, D. J.,et al."Accounting for differences in costs among sampling locations in optimal stratification".EUROPEAN JOURNAL OF SOIL SCIENCE 70.1(2019):200-212. |
入库方式： OAI收割
来源：地理科学与资源研究所
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