Human-caused wildfire risk rating for prevention planning in Spain.

This paper identifies human factors associated with high forest fire risk in Spain and analyses the spatial distribution of fire occurrence in the country. The spatial units were 6,066 municipalities of the Spanish peninsular territory and Balearic Islands. The study covered a 13-year series of fire occurrence data. One hundred and eight variables were generated and input to a dedicated Geographic Information System (GIS) to model different factors related to fire ignition. After exploratory analysis, 29 were selected to build a predictive model of human fire ignition using logistic regression analysis. The binary model estimated the probability of high or low occurrence of forest fires, as defined by an ignition danger index that is currently used by the Spanish forest service (number of fires divided by forest area in each municipality). Thirteen explanatory variables were identified by the model. They were related to agricultural …

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Martínez J. Vega-Garcia C. y Chuvieco E. Human-caused wildfire risk rating for prevention planning in Spain. Elsevier, 2009. https://doi.org/10.1016/j.jenvman.2008.07.005

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Resource type Text
Date of creation 2024-12-02
Date of last revision 2025-01-20
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Metadata identifier bfbece04-59e6-5015-831b-6295e9690c3e
Metadata language Spanish
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Name of the dataset creator Martínez, J., Vega-Garcia, C. y Chuvieco, E.
Name of the dataset editor Elsevier
Other identifier DOI: 10.1016/j.jenvman.2008.07.005
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