Ramesh, N.I. ORCID: 0000-0001-6373-2557 (2005) Semi-parametric analysis of extreme forest fires. Forest Biometry Modelling and Information Science, 1. pp. 1-10. ISSN 1740-5955

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Abstract

Forest fires can cause extensive damage to natural resources and properties. They can also destroy wildlife habitat, affect the forest ecosystem and threaten human lives. In this paper incidences of extreme wildland fires are modelled by a point process model which incorporates time-trend. A model based on a generalised Pareto distribution is used to model data on acres of wildland burnt by extreme fire in the US since 1825. A semi-parametric smoothing approach, which is very useful in exploratory analysis of changes in extremes, is illustrated with the maximum likelihood method to estimate model parameters.

Item Type:	Article
Additional Information:	[1] FBMIS is a peer reviewed internet journal which provides free access to original research and review articles in the following areas: Forest Biometry, Forest Modelling, and Forest Information Sciences.
Uncontrolled Keywords:	forest fire, extremes, semi-parametric smoothing, wildland
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences Q Science > QA Mathematics S Agriculture > SD Forestry
Pre-2014 Departments:	School of Computing & Mathematical Sciences
Related URLs:	Publisher
Last Modified:	27 Oct 2020 14:50
URI:	http://gala.gre.ac.uk/id/eprint/11010

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