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CORRECTION article
Front. Environ. Sci. , 21 March 2025
Sec. Big Data, AI, and the Environment
Volume 13 - 2025 | https://doi.org/10.3389/fenvs.2025.1592508
This article is a correction to:
Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-Research on ARIMA-BP Neural Network Algorithm
A Corrigendum on
Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm
by Zhao S, Li Z, Deng H, You X, Tong J, Yuan B and Zeng Z (2024). Front. Environ. Sci. 12:1497941. doi: 10.3389/fenvs.2024.1497941
In the published article, Jiaang Tong and Bingkun Yuan were incorrectly labeled as corresponding authors.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Keywords: carbon emissions, ARIMA-BP model, LMDI decomposition, temporal and spatial evolution, standard elliptic difference
Citation: Zhao S, Li Z, Deng H, You X, Tong J, Yuan B and Zeng Z (2025) Corrigendum: Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm. Front. Environ. Sci. 13:1592508. doi: 10.3389/fenvs.2025.1592508
Received: 12 March 2025; Accepted: 14 March 2025;
Published: 21 March 2025.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2025 Zhao, Li, Deng, You, Tong, Yuan and Zeng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Sanglin Zhao, MjAyMjA1NjQwMTA4QG1haWxzLmh1ZmUuZWR1LmNu
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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