Corrigendum to “Wildfire univariate and bivariate characteristics simulation based on multiple machine learning models and applicability analysis of wildfire models” [Progress in Disaster Science Volume 20, December 2023, 100301]

IF 2.6 Q3 ENVIRONMENTAL SCIENCES

Progress in Disaster Science Pub Date : 2024-04-01 DOI:10.1016/j.pdisas.2023.100306

Ke Shi , Yoshiya Touge , Yanhong Dou

引用次数: 0

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基于多种机器学习模型的野火单变量和双变量特征模拟及野火模型适用性分析》[灾害科学进展第 20 卷，2023 年 12 月，100301]勘误表

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来源期刊

Progress in Disaster Science Social Sciences-Safety Research

CiteScore

14.60

自引率

3.20%

发文量

审稿时长

12 weeks

期刊介绍： Progress in Disaster Science is a Gold Open Access journal focusing on integrating research and policy in disaster research, and publishes original research papers and invited viewpoint articles on disaster risk reduction; response; emergency management and recovery. A key part of the Journal's Publication output will see key experts invited to assess and comment on the current trends in disaster research, as well as highlight key papers.