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Explainable GeoAI reveals spatially varying and nonlinear associations of PM2.5 pollution with driving factors in Chinese cities from 2015 to 2022.

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Title: Explainable GeoAI reveals spatially varying and nonlinear associations of PM2.5 pollution with driving factors in Chinese cities from 2015 to 2022.
Authors: Dai, Xiaoliang1,2,3 (AUTHOR), Sun, Kai4 (AUTHOR) kaisun@cuhk.edu.hk, Li, Weirong5 (AUTHOR), Zhu, Yunqiang1,2,6 (AUTHOR) kaisun@cuhk.edu.hk, Ding, Fangyu1 (AUTHOR), Pan, Peng7 (AUTHOR), Yang, Yichen1,2,3 (AUTHOR), Wang, Shu1,2 (AUTHOR)
Source: International Journal of Digital Earth. 2026, Vol. 19 Issue 1, p1-27. 27p.
Database: Academic Search Ultimate
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An: 195177517
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  Label: Title
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  Data: Explainable GeoAI reveals spatially varying and nonlinear associations of PM<subscript>2.5</subscript> pollution with driving factors in Chinese cities from 2015 to 2022.
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  Data: <searchLink fieldCode="AR" term="%22Dai%2C+Xiaoliang%22">Dai, Xiaoliang</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Kai%22">Sun, Kai</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> kaisun@cuhk.edu.hk</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Weirong%22">Li, Weirong</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhu%2C+Yunqiang%22">Zhu, Yunqiang</searchLink><relatesTo>1,2,6</relatesTo> (AUTHOR)<i> kaisun@cuhk.edu.hk</i><br /><searchLink fieldCode="AR" term="%22Ding%2C+Fangyu%22">Ding, Fangyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pan%2C+Peng%22">Pan, Peng</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Yichen%22">Yang, Yichen</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Shu%22">Wang, Shu</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Digital+Earth%22">International Journal of Digital Earth</searchLink>. 2026, Vol. 19 Issue 1, p1-27. 27p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195177517
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/17538947.2026.2620872
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      – Code: eng
        Text: English
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        PageCount: 27
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      – TitleFull: Explainable GeoAI reveals spatially varying and nonlinear associations of PM2.5 pollution with driving factors in Chinese cities from 2015 to 2022.
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            NameFull: Dai, Xiaoliang
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            NameFull: Sun, Kai
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            NameFull: Li, Weirong
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            NameFull: Zhu, Yunqiang
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            NameFull: Ding, Fangyu
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            NameFull: Pan, Peng
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            NameFull: Yang, Yichen
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            – D: 01
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              Text: 2026
              Type: published
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            – TitleFull: International Journal of Digital Earth
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