Downscaling Census Data for Gridded Population Mapping With Geographically Weighted Area-to-Point Regression Kriging
文献类型：期刊论文
| 作者 | Chen, Yuehong3; Zhang, Ruojing3; Ge, Yong2; Jin, Yan1; Xia, Zelong3 |
| 刊名 | IEEE ACCESS
 |
| 出版日期 | 2019 |
| 卷号 | 7页码:149132-149141 |
| 关键词 | Gridded population distribution census data geospatial data social sensing data geographically weighted area-to-point regression kriging downscaling geographical information science |
| ISSN号 | 2169-3536 |
| DOI | 10.1109/ACCESS.2019.2945000 |
| 通讯作者 | Ge, Yong(gey@lreis.ac.cn) |
| 英文摘要 | Understanding human population distribution on the earth at fine scales is an increasingly need to a broad range of geoscience fields, including resource allocation, transport and city planning, infectious disease assessment, disaster risk response, and climate change. Many approaches have been developed to spatially downscale census data to gridded population distribution datasets, which are preferable to integration with natural and socio-economic variables. We present a novel population downscaling approach that geographically weighted area-to-point regression kriging technique is used to downscale census data to gridded population distribution datasets with multisource geospatial and social sensing data. As a case study in Nanjing city, China we evaluated the effectiveness of the proposed population downscaling approach. The experimental results demonstrated that the proposed approach generated more accurate details of population distribution and higher accuracy than existing widely-used gridded population distribution products. Hence, the proposed population downscaling approach is a valuable option in producing gridded population distribution maps. |
| WOS关键词 | GLOBAL POPULATION ; LAND-COVER ; SURFACE ; IMAGES ; LEVEL |
| 资助项目 | Chinese Academy of Sciences[XDA 20030302] ; Fundamental Research Funds for the Central Universities[2019B00314] ; National Natural Science Foundation of China[41701376] ; National Natural Science Foundation of China[41725006] |
| WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000510424700001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | Chinese Academy of Sciences ; Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/132444]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ge, Yong |
| 作者单位 | 1.Nanjing Univ Posts & Telecommun, Sch Geog & Biol Informat, Nanjing 210023, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Hohai Univ, Sch Earth Sci & Engn, Nanjing 210098, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Yuehong,Zhang, Ruojing,Ge, Yong,et al. Downscaling Census Data for Gridded Population Mapping With Geographically Weighted Area-to-Point Regression Kriging[J]. IEEE ACCESS,2019,7:149132-149141. |
| APA | Chen, Yuehong,Zhang, Ruojing,Ge, Yong,Jin, Yan,&Xia, Zelong.(2019).Downscaling Census Data for Gridded Population Mapping With Geographically Weighted Area-to-Point Regression Kriging.IEEE ACCESS,7,149132-149141. |
| MLA | Chen, Yuehong,et al."Downscaling Census Data for Gridded Population Mapping With Geographically Weighted Area-to-Point Regression Kriging".IEEE ACCESS 7(2019):149132-149141. |
入库方式： OAI收割
来源：地理科学与资源研究所
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