
%0 Journal Article
%A de Bem, Pablo Pozzobon 
%A de Carvalho Júnior, Osmar Abílio 
%A Matricardi, Eraldo Aparecido Trondoli 
%A Guimarães, Renato Fontes 
%A Gomes, Roberto Arnaldo Trancoso 
%T Predicting wildfire vulnerability using logistic regression and artificial neural networks: a case study in Brazil’s Federal District
%J International Journal of Wildland Fire
%D 2019
%V 28
%N 1
%P 35-45
%K 
%R https://doi.org/10.1071/WF18018
%U https://www.publish.csiro.au/paper/WF18018 
%X 
