Ítem
|
Serra Saurina, Laura
Sáez Zafra, Marc Mateu, Jorge Juan Verdoy, Pablo Varga Linde, Diego |
|
| 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 | |
| http://hdl.handle.net/2072/239404 | |
| eng | |
| Springer Verlag | |
| Tots els drets reservats | |
|
Incendis forestals -- Prevenció i control
Forest fires -- Prevention and control Estadística Statistics Models economètrics Econometric models |
|
| A spatio-temporal Poisson hurdle point process to model wildfires | |
| info:eu-repo/semantics/article | |
| Recercat |
