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Empleo de técnicas de regresión logística para la obtención de modelos de riesgo humano de incendio forestal a escala regional

Authors: Lara Vilar Del Hoyo; Mª Pilar Martín Isabel; Javier Martínez Vega;

Empleo de técnicas de regresión logística para la obtención de modelos de riesgo humano de incendio forestal a escala regional

Abstract

Se aborda la realización de modelos de riesgo humano de incendio forestal mediante el empleo de técnicas de regresión logística, estimando la probabilidad de ocurrencia del fenómeno a partir de variables de tipo socio-económico relacionadas con la ocurrencia de incendios forestales en las Comunidades Autónomas de Madrid y Valencia. Las variables independientes de riesgo se generan a partir de herramientas de Sistemas de Información Geográfica (SIG), a una resolución de 1 km2.

Este trabajo forma parte de la investigación desarrollada por el grupo de Tecnologías de la Información Geográfica del Instituto de Economía y Geografía (IEG) del CSIC en el marco del Proyecto Firemap, “Análisis Integrado de Incendios Forestales mediante Teledetección y Sistemas de Información Geográfica” (CGL2004-06049-C04-02/CLI) y ha sido parcialmente financiada por el programa de Formación de Personal Investigador FPI BES-2005- 7712 del Ministerio de Educación y Ciencia

Este artículo está sujeto a una licencia CC BY-NC 4.0

Peer reviewed

Keywords

Environmental sciences, Geography (General), Regresión Logística, Riesgo humano, G1-922, GE1-350, Incendio forestal

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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