Modeling and simulation of fire spreading through the activity tracking paradigm
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DOI: 10.1016/j.ecolmodel.2008.08.017
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References listed on IDEAS
- Yassemi, S. & Dragićević, S. & Schmidt, M., 2008. "Design and implementation of an integrated GIS-based cellular automata model to characterize forest fire behaviour," Ecological Modelling, Elsevier, vol. 210(1), pages 71-84.
- Alonso-Sanz, Ramón, 2007. "A structurally dynamic cellular automaton with memory," Chaos, Solitons & Fractals, Elsevier, vol. 32(4), pages 1285-1295.
- Lawrie, Jock & Hearne, John, 2007. "Reducing model complexity via output sensitivity," Ecological Modelling, Elsevier, vol. 207(2), pages 137-144.
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Cited by:
- Hamed Adab & Kasturi Devi Kanniah & Karim Solaimani, 2021. "Remote sensing-based operational modeling of fuel ignitability in Hyrcanian mixed forest, Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(1), pages 253-283, August.
- Monedero, Santiago & Ramirez, Joaquin & Cardil, Adrián, 2019. "Predicting fire spread and behaviour on the fireline. Wildfire analyst pocket: A mobile app for wildland fire prediction," Ecological Modelling, Elsevier, vol. 392(C), pages 103-107.
- Carlos Díaz‐Avalos & Pablo Juan, 2022. "Modeling the spatial evolution wildfires using random spread process," Environmetrics, John Wiley & Sons, Ltd., vol. 33(8), December.
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Keywords
Fire spreading; Component-based modeling and simulation; Activity tracking paradigm;All these keywords.
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