Study of Spatial and Temporal Characteristics and Influencing Factors of Net Carbon Emissions in Hubei Province Based on Interpretable Machine Learning

Study of Spatial and Temporal Characteristics and Influencing Factors of Net Carbon Emissions in Hubei Province Based on Interpretable Machine Learning

Carbon emissions from global warming pose significant threats to both regional ecology and sustainable development. Understanding the factors affecting emissions is critical to developing effective carbon neutral strategies. This study constructed a precise 1 km resolution net carbon emissions map o...

Full description

Saved in:
Bibliographic Details
Main Authors: Junyi Zhao, Bingyao Jia, Jing Wu, Xiaolu Wu
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Land
Subjects:
machine learning
net carbon emissions
Shapley additive explanation (SHAP)
Online Access:https://www.mdpi.com/2073-445X/14/6/1255
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items