Published February 10, 2024
| Version v1
Dataset
Open
Socio-economic dataset at 1 km grid cell for fire prediction in 1980s and 2000s Madrid (Spain)
Description
This data gathers socioeconomic drivers at 1km2 grid cell spatial resolution to predict forest fires in a region in Spain (Madrid) for two periods of time (1980 and 2000s. The response variable was exact located fires by grid cell. The resulting work was published at Vilar, L., Gómez, I., Martínez-Vega, J., Echavarría, P., Riaño, D., & Martín, M. P. (2016). Multitemporal modelling of socio-economic wildfire drivers in central Spain between the 1980s and the 2000s: comparing generalized linear models to machine learning algorithms. PLoS One, 11(8), e0161344.
.-Description of the data and file structure
The data set is an excel file with columns for these variables:
| VARIABLES | DESCRIPTION |
| CellCode | ID of the 1*1km cell |
| X | X cell coordinate |
| Y | Y cell coordinate |
| POP | population density |
| AGRI | agriculture workforce density |
| SERV | services workforce density |
| FAI | 200 m Forest Agriculture Interface buffer |
| WUI | 12.5m Wildland Urban Interface buffer |
| FGI | 200 m Forest Grassland Interface buffer |
| RAILWAYS | 70 and 100 m railway buffers |
| ROADS | 15, 25 and 50 m road buffers |
| TRACKS | 300 m tracks buffer |
| NPA | Natural Protected Area |
| FIRE_PRESENCE | Response variable. Fire presence/absence |
Files
Files
(3.4 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:70875bf3d6eb672b52f3855cc3aaa497
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3.4 MB | Download |
Additional details
Related works
- Is part of
- Journal article: 10.1371/journal.pone.0161344 (DOI)
Dates
- Accepted
-
2016-08-24