Articles citing this paper
Predicting wildfire vulnerability using logistic regression and artificial neural networks: a case study in Brazil’s Federal District
Pablo Pozzobon de Bem A , Osmar Abílio de Carvalho Júnior
A C , Eraldo Aparecido Trondoli Matricardi B , Renato Fontes Guimarães A and Roberto Arnaldo Trancoso Gomes A
+ Author Affiliations
- Author Affiliations
A Department of Geography, University of Brasília, Campus Universitário Darcy Ribeiro, 70904-970, Brazil.
B Department of Forest Engineering, University of Brasília, Campus Universitário Darcy Ribeiro, 70910-900, Brazil.
C Corresponding author. Email: osmarjr@unb.br
International Journal of Wildland Fire 28(1) 35-45 https://doi.org/10.1071/WF18018
Submitted: 6 February 2018 Accepted: 5 November 2018 Published: 23 November 2018
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