Statistical models of vegetation fires: Spatial and temporal patterns-Reference-Cited by-同舟云学术

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Statistical models of vegetation fires: Spatial and temporal patterns

Published:2019-01-15 Issue: Volume: Page:401-420
ISSN:
Container-title:Handbook of Environmental and Ecological Statistics
language:
Short-container-title:

Author:

Pereira J.M.C.,Turkman K.F.

Publisher

Chapman and Hall/CRC

Reference1 articles.

1. Alexandridis, A., Russo, L., Vakalis, D., Bafas, G. V., and Siettos, C. I. (2011). Wild-land fire spread modelling using cellular automata: evolution in large-scale spatially heterogeneous environments under fire suppression tactics. International Journal of Wildland Fire, 20:633–647.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Bayesian model for predicting monthly fire frequency in Kenya;PLOS ONE;2024-01-25

2. Editorial: EVA 2021 data challenge on spatiotemporal prediction of wildfire extremes in the USA;Extremes;2023-03-27

3. Spatiotemporal wildfire modeling through point processes with moderate and extreme marks;The Annals of Applied Statistics;2023-03-01

4. A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes;Extremes;2023-02-21

5. Gradient boosting with extreme-value theory for wildfire prediction;Extremes;2023-01-21

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