| A spatial conditioned latin hypercube sampling method for mapping using ancillary data | |
| Gao, Bingbo1,2,3; Pan, Yuchun1; Chen, Ziyue4; Wu, Fang5; Ren, Xuhong1; Hu, Maogui2 | |
| 刊名 | Transactions in gis
 |
| 2016-10-01 | |
| 卷号 | 20期号:5页码:735-754 |
| ISSN号 | 1361-1682 |
| DOI | 10.1111/tgis.12176 |
| 通讯作者 | Pan, yuchun(yuchun_pan@sina.com.cn) |
| 英文摘要 | For obtaining maps of good precision by the spatial inference method, the distribution of sampling sites in geographical and feature space is very important. for a regional variable with trends, the predicting error comes from trend estimation, variogram estimation and spatial interpolation. based on the clhs (conditioned latin hypercube sampling) method, a sampling method called sclhs (spatial clhs) considering all these three aspects with the help of ancillary data is proposed in this article. its advantage lies in simultaneously improving trend estimation, variogram estimation and spatial interpolation. modis data and simulated data were used as sampling fields to draw sample sets using sclhs, clhs, clhs with x and y coordinates as covariates, simple random and spatial even sampling methods, and the distribution and prediction errors of sample sets from different methods were evaluated. the results showed that sclhs performed well in balancing spreading in geographic and feature space, and can generate points pairs with small distances, and the sample sets drawn by sclhs produced smaller mapping error, especially when there were trends in the target variable. |
| WOS关键词 | CONSTRAINED OPTIMIZATION ; VARIOGRAM ; INFORMATION ; VARIABLES ; VARIANCE |
| WOS研究方向 | Geography |
| WOS类目 | Geography |
| 语种 | 英语 |
| 出版者 | WILEY-BLACKWELL |
| WOS记录号 | WOS:000385267600006 |
| 内容类型 | 期刊论文 |
| URI标识 | http://www.corc.org.cn/handle/1471x/2374777 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Pan, Yuchun |
| 作者单位 | 1.Natl Engn Res Ctr Informat Technol Agr, Shuguang Huayuan Middle Rd 11, Beijing 100097, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm Sci, Beijing, Peoples R China 4.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China 5.China Waterborne Transport Res Inst, Informat Ctr, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gao, Bingbo,Pan, Yuchun,Chen, Ziyue,et al. A spatial conditioned latin hypercube sampling method for mapping using ancillary data[J]. Transactions in gis,2016,20(5):735-754. |
| APA | Gao, Bingbo,Pan, Yuchun,Chen, Ziyue,Wu, Fang,Ren, Xuhong,&Hu, Maogui.(2016).A spatial conditioned latin hypercube sampling method for mapping using ancillary data.Transactions in gis,20(5),735-754. |
| MLA | Gao, Bingbo,et al."A spatial conditioned latin hypercube sampling method for mapping using ancillary data".Transactions in gis 20.5(2016):735-754. |
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