A spatio-temporal Poisson hurdle point process to model wildfires
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Scholar |
Otros documentos de la autoría: Serra, Laura; Sáez Zafra, Marc; Juan, Pablo; Varga, Diego; Mateu, Jorge
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http://dx.doi.org/10.1007/s00477-013-0823-x |
Metadatos
Título
A spatio-temporal Poisson hurdle point process to model wildfiresFecha de publicación
2013-11Editor
SpringerCita bibliográfica
SERRA, Laura, et al. A spatio-temporal Poisson hurdle point process to model wildfires. Stochastic Environmental Research and Risk Assessment, 2013, 1-14.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://link.springer.com/article/10.1007%2Fs00477-013-0823-xVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
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 ... [+]
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. [-]
Publicado en
Stochastic Environmental Research and Risk Assessment, 28, 7, october 2014Derechos de acceso
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