Displaying 1 - 10 of 32
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Aina, Yusuf A. 2017. Achieving smart sustainable cities with GeoICT support: The Saudi evolving smart cities. [Cities] . 71: 49-58 DOI: https://doi.org/10.1016/j.cities.2017.07.007
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Cheng, Zhonghua; Li, Lianshui; Liu, Jun. 2017. Identifying the spatial effects and driving factors of urban PM2.5 pollution in China. [Ecological Indicators] . 82: 61-75 DOI: https://doi.org/10.1016/j.ecolind.2017.06.043
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Guo, Yuming; Zeng, Hongmei; Zheng, Rongshou; Li, Shanshan; Pereira, Gavin; Liu, Qiyong; Chen, Wanqing; Huxley, Rachel. 2017. The burden of lung cancer mortality attributable to fine particles in China. [Science of The Total Environment] . 579: 1460-1466 DOI: https://doi.org/10.1016/j.scitotenv.2016.11.147
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Hu, Zhiyong; Baker, Ethan. 2017. Geographical analysis of lung cancer mortality rate and PM2.5 using Global Annual Average PM2.5 Grids from MODIS and MISR Aerosol Optical Depth. [Journal of Geoscience and Environment Protection] . 5(6): 183-197 DOI: https://doi.org/10.4236/gep.2017.56017
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Lei, Yang; Ran, Wei; Yue, Liu; Yan, Wang; Du, Liuliu; Shen, Henggen. 2017. Impact on population exposure to PM2.5 by its source factors in China: Provincial panel data analysis. [Nature Environment & Pollution Technology] . 16(1): 37-43
Related URL(s): http://www.neptjournal.com/upload-images/NL-59-6-(4)D-542.pdf
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Luo, Jieqiong; Du, Peijun; Samat, Alim; Xia, Junshi; Che, Meiqin; Xue, Zhaohui. 2017. Spatiotemporal pattern of PM2.5 concentrations in mainland China and analysis of its influencing factors using geographically weighted regression. [Scientific Reports] . 7: 40607 DOI: https://doi.org/10.1038/srep40607
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Moraga, Paula; Cramb, Susanna M.; Mengersen, Kerrie L.; Pagano, Marcello. 2017. A geostatistical model for combined analysis of point-level and area-level data using INLA and SPDE. [Spatial Statistics] . 21, Part A: 27-41 DOI: https://doi.org/10.1016/j.spasta.2017.04.006
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Su, Shiliang; Liu, Zebin; Xu, Yifan; Li, Jing; Pi, Jianhua; Weng, Min. 2017. China’s megaregion policy: Performance evaluation framework, empirical findings and implications for spatial polycentric governance. [Land Use Policy] . 63: 1-19 DOI: https://doi.org/10.1016/j.landusepol.2017.01.014
Uses Remote Sensing: yes
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Wu, Xianhua; Chen, Yufeng; Guo, Ji; Wang, Guizhi; Gong, Yeming. 2017. Spatial concentration, impact factors and prevention-control measures of PM2.5 pollution in China. [Natural Hazards] . 86(1): 393-410 DOI: https://doi.org/10.1007/s11069-016-2697-y
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Fan, Qin; Klaiber, H. Allen; Fisher-Vanden, Karen. 2016. Does extreme weather drive interregional brain drain in the U.S.? Evidence from a sorting model. [Land Economics] . 92(2): 363-388 DOI: https://doi.org/10.3368/le.92.2.363
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