Forest wildfire hazard analyses: A point processes approach

Authors

  • Rafael González De Gouveia Universidad Centroccidental Lisandro Alvarado. Venezuela
  • Abelardo Monsalve Cobis Universidad Centroccidental Lisandro Alvarado. Venezuela

Keywords:

point process, non-parametrics methods, non-homogeneus poisson process

Abstract

Point stochastic processes represent a very useful tool for the analysis of hazard factors in wildfire. In this article, the occurrence of wildfire is studied from a spatial-temporal Poisson process, in which the intensity function thereof is considered as a wildfire hazard characterization based on parametric and non-parametric techniques. Finally, it is considered a set of real data, provided by the Ministerio del Poder Popular para el Ambiente from Instituto Nacional de Meteorología e Hidrologia (INAMEH) of Venezuela, relating to widlfire produced on a particular day. The hazard functions are estimated based on the proposed model and wildfire hazard maps are generated, which are adjusted to the geographical and climatic characteristics of the country.

Downloads

Download data is not yet available.

References

R. Hernández. Caracterización espacial de la sequía meteorológica (spi) a nivel semestral febrero-julio, marzo-agosto y abril-septiembre 2014. INAMEH - Gerencia de Meteorología Coordinación de Meteorología Aplicada 1: 2-3, 2014.

R.D. Peng; F.P. Schoenberg; J.A. Woods. A space-time conditional intensity model for evaluating a wildfire hazard index. Journal of the American Statistical Association, 100 (469): 26-35, 2005.

F.P Schoenberg; D.R. Brillinger; P.M. Guttorp. Point processes, spatial-temporal, in Encyclopedia Environmetrics, Abdel El-Shaarawi and Walter Piegorsch, editors. Wiley. Volumen 3:1573-1577. 2002.

B.W. Silverman. 1986. Density Estimation for Statistics and Data Analysis. Monographs on Statistics and Applied Probability, London: Chapman and Hall, Londres. 1-22, 1986.

H. Xu; F.P. Schoenberg, F.P., 2011. Point proccess modeling of wildfire hazard in Los Angeles County, California. The Annals of Applied Statistics, 5 (2a): 684-704, 2011.

Published

2017-06-30

How to Cite

[1]
R. González De Gouveia and A. Monsalve Cobis, “Forest wildfire hazard analyses: A point processes approach”, Publ.Cienc.Tecnol, vol. 11, no. 1, pp. 17-24, Jun. 2017.

Issue

Section

Research Article