Socioeconomic and natural drivers data from GIS to predict forest fires at regional level

Laburpena

This data gathers socioeconomic drivers at 1km2 grid cell spatial resolution to predict forest fires in a region in Spain. The response variable was exact located fires by grid cell and it contains its date. It was produced under the Firemap project (https://geogra.uah.es/firemap/) by using GIS, spatial and statistical data sources at regional level in Spain. The resulting work was published at Vilar, L., Woolford, D.G., Martell, D.L. and Martín, M.P., 2010. A model for predicting human-caused wildfire occurrence in the region of Madrid, Spain. International Journal of Wildland Fire, 19(3), pp.325-337. doi: 10.1071/WF09030