Ju Kyeong Choi, Chan Jin Lim, Yu Jin Jeong, Song Hee Han, Gwan Sik Choi, Hee Mun Chae
언어
영어(ENG)
URL
https://www.earticle.net/Article/A473951
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4,000원
원문정보
초록
영어
In recent decades, the increasing frequency and severity of wildfires driven by climate change and other factors have led to a significant expansion of research on wildfire spread. This study presents a bibliometric analysis of wildfire spread research from 1982 to 2024. We compiled a dataset of scholarly publications and applied cluster analysis to identify major research topics. Using silhouette scores, we determined an optimal cluster number of approximately 20, and visualized the topic clusters with a two-dimensional embedding. We also analyzed publication trends over time, citation patterns, and keyword co-occurrence networks to understand the evolution and impact of each research topic. The results reveal a dramatic growth in wildfire spread studies over the past decade. We identified several distinct research clusters, including climate change impacts, fire behavior modeling, remote sensing applications, wildfire management strategies, and ecological effects of fires, among others. Some topics, such as climate-related wildfire research and remote sensing, have grown especially rapidly in recent years. Citation analysis indicates that certain longstanding research areas carry high influence, while emerging topics are gaining attention. The keyword network highlights interdisciplinary connections linking climate, ecology, and technology in wildfire research. This comprehensive overview of the wildfire spread research landscape offers insights into past developments and emerging directions, which can inform future research and policymaking in wildfire management.
목차
Abstract Introduction Materials and Methods Document collection and preprocessing Embedding and dimensionality reduction Topic identification and labeling Network analysis of topic keywords Results Publication trends in wildfire spread research(1982-2024) Cluster number optimization and two-dimensional topic map Topic keywords and interpretive labels Temporal dynamics of topics Citation impact by topic Keyword co-occurrence network structure Discussion Acknowledgements References