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

  1. VILAR, LARA 1
  1. 1 Universidad de Alcalá
    info

    Universidad de Alcalá

    Alcalá de Henares, España

    ROR https://ror.org/04pmn0e78

Éditeur: Zenodo

Année de publication: 2024

Type: Dataset

CC BY 4.0

Résumé

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