title: Forest fire spatial pattern analysis in Galicia (NW Spain).
abstract: Knowledge of fire behaviour is of key importance in forest management. In the present study, we analysed the spatial structure of forest fire with spatial point pattern analysis and inference techniques recently developed in the Spatstat package of R. Wildfires have been the primary threat to Galician forests in recent years. The district of Fonsagrada-Ancares is one of the most seriously affected by fire in the region and, therefore, the central focus of the study. Our main goal was to determine the spatial distribution of ignition points to model and predict fire occurrence. These data are of great value in establishing enhanced fire prevention and fire fighting plans. We found that the spatial distribution of wildfires is not random and that fire occurrence may depend on ownership conflicts. We also found positive interaction between small and large fires and spatial independence between wildfires in consecutive years.
authors.affiliation: Consejo Superior de Investigaciones Científicas (CSIC), Instituto de Investigaciones Marinas, C/Eduardo Cabello, n° 6, 36208 Vigo, Spain. isabel.fuentes@usc.es
authors.forename: I
authors.initials: I
authors.lastname: Fuentes-Santos
authors.forename: M F
authors.initials: MF
authors.lastname: Marey-Pérez
authors.forename: W
authors.initials: W
authors.lastname: González-Manteiga
mesh_terms: D005390:Fires / Q000517:prevention & control; D008962:Models, Theoretical; D009010:Monte Carlo Method; D016011:Normal Distribution; D013030:Spain; D062206:Spatial Analysis; D014197:Trees
keywords: Fire spatial model; Forest planning; Intensity function; K-function; Poisson process; Spatstat; Wildfire risk