Point patterns of forest fire locations

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dc.contributor.author Turner, Thomas en
dc.date.accessioned 2012-03-12T21:45:24Z en
dc.date.issued 2009 en
dc.identifier.citation Environmental and Ecological Statistics 16(2):197-223 01 Jun 2009 en
dc.identifier.issn 1352-8505 en
dc.identifier.uri http://hdl.handle.net/2292/14037 en
dc.description.abstract In this paper I demonstrate some of the techniques for the analysis of spatial point patterns that have become available due to recent developments in point process modelling software. These developments permit convenient exploratory data analysis, model fitting, and model assessment. Efficient model fitting, in particular, makes possible the testing of statistical hypotheses of genuine interest, even when interaction between points is present, via Monte Carlo methods. The discussion of these techniques is conducted jointly with and in the context of some preliminary analyses of a collection of data sets which are of considerable interest in their own right. These data sets (which were kindly provided to me by the New Brunswick Department of Natural Resources) consist of the complete records of wildfires which occurred in New Brunswick during the years 1987 through 2003. In treating these data sets I deal with data-cleaning problems, methods of exploratory data analysis, means of detecting interaction, fitting of statistical models, and residual analysis and diagnostics. In addition to demonstrating modelling techniques, I include a discussion on the nature of statistical models for point patterns. This is given with a view to providing an understanding of why, in particular, the Strauss model fails as a model for interpoint attraction and how it has been modified to overcome this difficulty. All actual modelling of the New Brunswick fire data is done only with the intent of illustrating techniques. No substantive conclusions are or can be drawn at this stage. Realistic modelling of these data sets would require incorporation of covariate information which I do not so far have available. en
dc.publisher Springer New York LLC en
dc.relation.ispartofseries Environmental and Ecological Statistics en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from: http://www.sherpa.ac.uk/romeo/issn/1352-8505/ en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.title Point patterns of forest fire locations en
dc.type Journal Article en
dc.identifier.doi 10.1007/s10651-007-0085-1 en
pubs.issue 2 en
pubs.begin-page 197 en
pubs.volume 16 en
dc.rights.holder Copyright: Springer New York LLC en
pubs.end-page 223 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Article en
pubs.elements-id 241008 en
pubs.record-created-at-source-date 2011-11-17 en

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