Ítem
Serra Saurina, Laura
Sáez Zafra, Marc Mateu, Jorge Juan Verdoy, Pablo Varga Linde, Diego |
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octubre 2014 | |
Wildfires have been studied in many ways, for instance as a spatial point pattern or through modeling the size of fires or the relative risk of big fires. Lately a large variety of complex statistical models can be fitted routinely to complex data sets, in particular wildfires, as a result of widely accessible high-level statistical software, such as R. The objective in this paper is to model the occurrence of big wildfires (greater than a given extension of hectares) using an adapted two-part econometric model, specifically a hurdle model. The methodology used in this paper is useful to determine those factors that help any fire to become a big wildfire. Our proposal and methodology can be routinely used to contribute to the management of big wildfires | |
application/pdf | |
10.1007/s00477-013-0823-x | |
1436-3240 (versió paper) 1436-3259 (versió electrònica) |
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http://hdl.handle.net/10256/9344 | |
eng | |
Springer Verlag | |
Versió postprint del document publicat a: 10.1007/s00477-013-0823-x Articles publicats (D-EC) |
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© Stochastic Environmental Research and Risk Assessment, 2014, vol. 28, núm. 7, p 1671-1684 | |
Tots els drets reservats | |
Incendis forestals -- Prevenció i control
Forest fires -- Prevention and control Estadística Statistics Models economètrics Econometric models |
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A spatio-temporal Poisson hurdle point process to model wildfires | |
info:eu-repo/semantics/article | |
DUGiDocs |