Articles | Volume 21, issue 10
Research article
19 Oct 2021
Research article |  | 19 Oct 2021

ABWiSE v1.0: toward an agent-based approach to simulating wildfire spread

Jeffrey Katan and Liliana Perez

Data sets

Case study information pertaining to the Dogrib sample dataset for Prometheus N. McLoughlin

Model code and software

JeffLEDGE/ABWiSE-Fire-spread-model: ABWiSE v1.0.0 J. Katan

Short summary
Wildfires are an integral part of ecosystems worldwide, but they also pose a serious risk to human life and property. To further our understanding of wildfires and allow experimentation without recourse to live fires, this study presents an agent-based modelling approach to combine the complexity possible with physical models with the ease of computation of empirical models. Model calibration and validation show bottom-up simulation tracks the core elements of complexity of fire across scales.
Final-revised paper