Published February 2, 2024 | Version v1
Dataset Restricted

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

Authors/Creators

  • 1. Universidad de Alcalá

Contributors

  • 1. University of Western Ontario
  • 2. ROR icon University of Toronto
  • 3. ROR icon Consejo Superior de Investigaciones Científicas
  • 4. ROR icon Instituto de Economía, Geografía y Demografía

Description

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

Technical info

.-Description of the data and file structure

The data set is an excel file with columns for these variables:

  • UTM_CAM: UTM cell ID
  • FIRE_NOFIRE: exact located fires response variable
  • YEAR: year of the fire
  • MONTH: month of the fire
  • DAY: day of the fire
  • BUFFER_R_FOR: Buffer of roads in forest areas
  • BUFFER_RAIL_FOR: Buffer of  railways in forest areas
  • WUI: Wildland urban interface
  • ELEVATION

Files

Restricted

The record is publicly accessible, but files are restricted. Log in to check if you have access.

Additional details

Related works

Is part of
Journal article: 10.1071/WF09030 (DOI)