Worldwide wildfire spreading and its severity described by the SIR model
Tong Pan, Hongjun Wang, Jiyuan Chen, Xuan Song

TL;DR
This paper applies the SIR model to analyze global wildfire spread and severity using the new FireTracks dataset covering 2002-2023, providing insights into wildfire dynamics worldwide.
Contribution
It introduces a novel application of the SIR model to global wildfire data and utilizes the comprehensive FireTracks dataset for analysis.
Findings
Wildfire spreading patterns modeled effectively by SIR.
Severity correlates with specific environmental factors.
Global trends in wildfire activity identified.
Abstract
Global wildfire spreading dynamics and severity are analyzed using the susceptible-infected-recovered (SIR) compartment model. We use the novel FireTracks (FT) Scientific Dataset covering the wildfire time series of 2002-2023.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFire effects on ecosystems
