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International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire

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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 https://orcid.org/0000-0002-0346-1684 A C , Eraldo Aparecido Trondoli Matricardi B , Renato Fontes Guimarães A and Roberto Arnaldo Trancoso Gomes A
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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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