Construction and Application of Carbon Emissions Estimation Model for China Based on Gradient Boosting Algorithm

Accurate forecasting of carbon emissions at the county level is critical to support China’s dual-carbon goals. However, most current studies are limited to national or provincial scales, employing traditional statistical methods inadequate for capturing complex nonlinear interactions and spatiotempo...

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Bibliographic Details
Published in:	Remote sensing (Basel, Switzerland) Vol. 17; no. 14; p. 2383
Main Authors:	Guan, Dongjie, Shi, Yitong, Zhou, Lilei, Zhu, Xusen, Zhao, Demei, Peng, Guochuan, He, Xiujuan
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.07.2025
Subjects:	Algorithms Carbon carbon emission forecasting China Climate change Cluster analysis Clustering Correlation analysis county level Decision trees Emissions Energy consumption gradient boosting algorithms Heterogeneity Natural resources Prediction models SHAP interpretation Spatial analysis Spatial discrimination Spatial resolution spatiotemporal patterns Statistical methods Support vector machines Tennessee United States Vector quantization United States Tennessee China Nigeria
ISSN:	2072-4292, 2072-4292
Online Access:	Get full text
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