Design-based spatial sampling: Theory and implementation
文献类型：SCI/SSCI论文
| 作者 | Wang, Jin-Feng1; Jiang, Cheng-Sheng1; Hu, Mao-Gui1 ; Cao, Zhi-Dong1,2; Guo, Yan-Sha1; Li, Lian-Fa1; Liu, Tie-Jun1; Meng, Bin1
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| 发表日期 | 2013-02-01 |
| 关键词 | Spatial Sampling Sampling Trinity Relationship Prior Knowledge Design-based Sampling |
| 英文摘要 | Various sampling techniques are widely used in environmental, social and resource surveys. Spatial sampling techniques are more efficient than conventional sampling when surveying spatially distributed targets such as CO2 emissions, soil pollution, a population distribution, disaster distribution, and disease incidence, where spatial autocorrelation and heterogeneity are prevalent. However, despite decades of development in theory and practice, there are few computer programs for spatial sampling. We investigated the three-fold relationship between targets, sampling strategies and statistical methods in spatial contexture. Accordingly, the information flow of the spatial sampling process was reconstructed and optimized. SSSampling, a computer program for design-based spatial sampling, has been developed from the theoretical basis. Three typical applications of the software, namely sampling design, optimal statistical inference and precision assessment, are demonstrated as case studies. (C) 2012 Elsevier Ltd. All rights reserved. |
| 出处 | ENVIRONMENTAL MODELLING & SOFTWARE |
| 卷 | 40 |
| 页 | 280-288 |
| 语种 | 英语 |
| 源URL | [http://192.168.22.105/handle/311030/30210]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 通讯作者 | Wang, Jin-Feng |
| 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.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Jin-Feng,Jiang, Cheng-Sheng,Hu, Mao-Gui,et al. Design-based spatial sampling: Theory and implementation. 2013. |
入库方式： OAI收割
来源：地理科学与资源研究所
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