TY  - GEN
TI  - Use of logistic regression techniques to obtain human forest fire risk models at regional level ; Empleo de técnicas de regresión logística para la obtención de modelos de riesgo humano de incendio forestal a escala regional
AU  - Vilar del Hoyo, Lara
AU  - Martín, M. Pilar
AU  - Martínez Vega, Javier
PY  - 2008
PB  - Asociación de Geógrafos Españoles
LA  - spa
KW  - Incendio forestal
KW  - Regresión Logística
KW  - Riesgo humano
KW  - http://semantics.gr/authorities/SSH-LCSH/sh85114195
KW  - Rizik
KW  - Risk
KW  - Risiko
KW  - Κίνδυνος
KW  - Ryzyko
KW  - Riesgo
KW  - Rischi
KW  - Risk (logiciel)
KW  - http://semantics.gr/authorities/SSH-LCSH/sh88001849
KW  - fenómeno
KW  - fenomeno
KW  - Aparência (Filosofia)
KW  - Schein
KW  - φαινόμενο
KW  - Appearance (Philosophy)
KW  - pojava
KW  - zjawisko
KW  - Apparence (philosophie)
KW  - http://semantics.gr/authorities/SSH-LCSH/sh85029027
KW  - Comunicazione
KW  - Information
KW  - komunikacja
KW  - Nachricht
KW  - Communication
KW  - Comunicação
KW  - comunicación
KW  - Mass communication
KW  - Primitive
KW  - πληροφορία
KW  - komunikacija
KW  - http://semantics.gr/authorities/SSH-LCSH/sh85040850
KW  - Volkswirtschaft
KW  - Economia politica
KW  - Economics
KW  - Political economy
KW  - ekonomija
KW  - economia
KW  - economía
KW  - Économie politique
KW  - Economic theory
KW  - ekonomia
KW  - οικονομικά
AB  - The development of human forest fire risk models is addressed through the use of logistic regression techniques, estimating the likelihood of the phenomenon occurring from socio-economic variables related to the occurrence of forest fires in the Autonomous Communities of Madrid and Valencia. Independent risk variables are generated from Geographic Information Systems (GIS) tools at a resolution of 1 km². This work is part of the research carried out by the Geographic Information Technologies Group of the Institute of Economics and Geography (IEG) of the CSIC in the framework of the Firemap project, 'Integrated Forest Fire Analysis using Remote Detection and Geographic Information Systems' (CGL2004-06049-C04-02/CLI) and has been partly funded by the FPI Research Staff Training Programme BES-2005-7712 of the Ministry of Education and Science. ; Peer reviewed ; The development of human forest fire risk models is addressed through the use of logistic regression techniques, estimating the likelihood of the phenomenon occurring from socio-economic variables related to the occurrence of forest fires in the Autonomous Communities of Madrid and Valencia. Independent risk variables are generated from Geographic Information Systems (GIS) tools at a resolution of 1 km². This work is part of the research carried out by the Geographic Information Technologies Group of the Institute of Economics and Geography (IEG) of the CSIC in the framework of the Firemap project, 'Integrated Forest Fire Analysis using Remote Detection and Geographic Information Systems' (CGL2004-06049-C04-02/CLI) and has been partly funded by the FPI Research Staff Training Programme BES-2005-7712 of the Ministry of Education and Science. ; 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 ...
UR  - http://hdl.handle.net/10261/23686
UR  - https://www.pollux-fid.de/r/base-fttriple:oai:gotriple.eu:http://hdl.handle.net/10261/23686
H1  - Pollux (Fachinformationsdienst Politikwissenschaft)
ER  -