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Population Density Prediction at Township Scale Supported by Machine Learning Method: A Case Study in Inner Mongolia

文献类型：期刊论文

作者Cui, Chenxi1,2,3; Hu, Yunfeng1,3; Bao, Yuhai2; Li, Hao1,3
刊名ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
出版日期2024-12-01
卷号13期号:12页码:426
关键词Inner Mongolia population density machine learning SHAP
DOI10.3390/ijgi13120426
产权排序2
文献子类Article
英文摘要With the acceleration in population migration and urbanization, accurate population density prediction has become increasingly important for regional planning and resource management. This study focuses on predicting population density at the township level in Inner Mongolia. By integrating multi-source data, such as nighttime light indices and road network density, various machine learning models-including random forest, XGBoost, and LightGBM-were employed to significantly improve prediction accuracy. Interpretable machine learning techniques were utilized to quantitatively analyze the contribution of various variables to population distribution. The results indicate that nighttime light indices and road network density are key influencing factors, revealing their complex nonlinear relationships with population density. This study provides new methodological support for predicting population density in Inner Mongolia and similar regions, demonstrating the potential of machine learning in regional population research. While machine learning models effectively capture correlations between variables, they do not reveal causal relationships. Future research should introduce more detailed data and causal inference models to deepen our understanding of population distribution and its influencing factors.
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WOS关键词LAND-COVER ; CHINA ; CENSUS
WOS研究方向Computer Science ; Physical Geography ; Remote Sensing
语种英语
WOS记录号WOS:001384745100001
出版者MDPI
源URL[http://ir.igsnrr.ac.cn/handle/311030/211287]  
专题资源与环境信息系统国家重点实验室_外文论文
作者单位1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
2.Inner Mongolia Normal Univ, Coll Geog Sci, Hohhot 010022, Peoples R China;
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China;
推荐引用方式
GB/T 7714		 Cui, Chenxi,Hu, Yunfeng,Bao, Yuhai,et al. Population Density Prediction at Township Scale Supported by Machine Learning Method: A Case Study in Inner Mongolia[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2024,13(12):426.
APA Cui, Chenxi,Hu, Yunfeng,Bao, Yuhai,&Li, Hao.(2024).Population Density Prediction at Township Scale Supported by Machine Learning Method: A Case Study in Inner Mongolia.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,13(12),426.
MLA Cui, Chenxi,et al."Population Density Prediction at Township Scale Supported by Machine Learning Method: A Case Study in Inner Mongolia".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 13.12(2024):426.

入库方式： OAI收割

来源：地理科学与资源研究所

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