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Open Access

Peer-reviewed

Research Article

A study on the refined population spatialization method integrating multi-source data: A case study of Yuxi city

Fanghao Zhang,

Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Visualization, Writing – original draft, Writing – review & editing

Affiliation Yunnan Earthquake Agency, Kunming, China

https://orcid.org/0009-0001-3281-9729

⨯
Feirui Jiang ,

Roles Supervision, Writing – original draft, Writing – review & editing

* E-mail: zfh125@sina.com

Affiliation Yunnan Earthquake Agency, Kunming, China

https://orcid.org/0009-0008-1743-3925

⨯
Yuanshuo Zhang,

Roles Formal analysis, Methodology

Affiliation Yunnan Earthquake Agency, Kunming, China
⨯
Junzu Xu,

Roles Funding acquisition, Software

Affiliation Yunnan Earthquake Agency, Kunming, China
⨯
Yang Ye,

Roles Resources

Affiliation Yunnan Earthquake Agency, Kunming, China
⨯
Zhaoliang Jia

Roles Data curation

Affiliation Yunnan Earthquake Agency, Kunming, China
⨯

A study on the refined population spatialization method integrating multi-source data: A case study of Yuxi city

Fanghao Zhang,
Feirui Jiang,
Yuanshuo Zhang,
Junzu Xu,
Yang Ye,
Zhaoliang Jia

x

Published: January 23, 2026
https://doi.org/10.1371/journal.pone.0340430

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Machine learning
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Population density
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Urban areas
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Remote sensing
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Census
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Machine learning algorithms
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Simulation and modeling
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