Modelling spatial distribution of fine-scale populations based on residential properties
文献类型：期刊论文
| 作者 | Han, Dongrui1,2; Yang, Xiaohuan1,2 ; Cai, Hongyan1; Xu, Xinliang1; Qiao, Zhi3; Cheng, Chuanzhou1,2; Dong, Nan4; Huang, Dong1,2; Liu, Andi5
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| 刊名 | INTERNATIONAL JOURNAL OF REMOTE SENSING
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| 出版日期 | 2019-07-18 |
| 卷号 | 40期号:14页码:5287-5300 |
| ISSN号 | 0143-1161 |
| DOI | 10.1080/01431161.2019.1579387 |
| 通讯作者 | Yang, Xiaohuan(yangxh@lreis.ac.cn) |
| 英文摘要 | Fine-scale population gridded datasets are of great significance in emergency response, resource allocation, and traffic planning. Many studies have developed fine-scale population spatialization models based on building patch area (BPA) and building floor (BF). However, little attention has been given to house occupancy rate (HOR). Based on BPA, BF and HOR, this study proposed a novel fine-scale population spatialization method, taking the six districts of Beijing as the study area. The results showed that the HOR in central Beijing was higher than that of the surrounding area. The model with consideration of HOR was more accurate than that without it. In addition, the fine-scale population gridded map generated by this novel method was more accurate (mean prediction error = 8.47%). For all the testing samples, the relative errors of the population gridded data were between -13.54% and 16.04%. Thus, this study suggested that HOR could be a key indicator for fine-scale population modelling. Furthermore, the proposed method could be employed in generating fine-scale population gridded maps and could provide credible and fundamental data for rapid response and decision-making. |
| WOS关键词 | BUILDING POPULATION ; CHINA ; DENSITY ; IMAGERY ; PATTERNS |
| 资助项目 | Strategic Priority Research Program of Chinese Academy of Sciences[XDA20010203] ; National Natural Science Foundation of China[41771460] ; National Key Research and Development Program of China[2017YFC0503803] ; Key project of the Chinese Academy of Sciences[ZDRW-ZS-2017-4] |
| WOS研究方向 | Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | TAYLOR & FRANCIS LTD |
| WOS记录号 | WOS:000465406100001 |
| 资助机构 | Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; Key project of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/48093]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yang, Xiaohuan |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Tianjin Univ, Sch Environm Sci & Engn, Key Lab Indoor Air Environm Qual Control, Tianjin, Peoples R China 4.CIGIS CHINA Ltd, Beijing, Peoples R China 5.Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB, Canada |
| 推荐引用方式 GB/T 7714 | Han, Dongrui,Yang, Xiaohuan,Cai, Hongyan,et al. Modelling spatial distribution of fine-scale populations based on residential properties[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2019,40(14):5287-5300. |
| APA | Han, Dongrui.,Yang, Xiaohuan.,Cai, Hongyan.,Xu, Xinliang.,Qiao, Zhi.,...&Liu, Andi.(2019).Modelling spatial distribution of fine-scale populations based on residential properties.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(14),5287-5300. |
| MLA | Han, Dongrui,et al."Modelling spatial distribution of fine-scale populations based on residential properties".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.14(2019):5287-5300. |
入库方式： OAI收割
来源：地理科学与资源研究所
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