Prediction of forest fires occurrences with area-level Poisson mixed models
Use este enlace para citar
http://hdl.handle.net/2183/16698
Excepto si se señala otra cosa, la licencia del ítem se describe como Atribución-NoComercial-SinDerivadas 3.0 España
Colecciones
- GI-MODES - Artigos [122]
Metadatos
Mostrar el registro completo del ítemTítulo
Prediction of forest fires occurrences with area-level Poisson mixed modelsFecha
2015-05-01Cita bibliográfica
M.Boubeta, M.J. Lombardía, M. Marey-Pérez and D. Morales. Prediction of forest fires occurrences with area-level Poisson mixed models. Journal of Environmental Management , 154 (2015) , 151-158.
Resumen
[Abstract] The number of fires in forest areas of Galicia (north-west of Spain) during the summer period is quite high. Local authorities are interested in analyzing the factors that explain this phenomenon. Poisson regression models are good tools for describing and predicting the number of fires per forest areas. This work employs area-level Poisson mixed models for treating real data about fires in forest areas. A parametric bootstrap method is applied for estimating the mean squared errors of fires predictors. The developed methodology and software are applied to a real data set of fires in forest areas of Galicia.
Palabras clave
Forest fires
Poisson mixed models
Prediction
Bootstrap
Poisson mixed models
Prediction
Bootstrap
Versión del editor
Derechos
Atribución-NoComercial-SinDerivadas 3.0 España
ISSN
0301-4797
1095-8630
1095-8630