Estimating historical forest-fire frequencies from time-since-last-fire-sample data
A method of estimating historical forest-fire frequencies based on time-since-last-fire observations at a simple random sample of points in an area of undisturbed forest is presented. The historical-fire-hazard rate function is assumed to be piecewise constant (constant within distinct epochs separa...
| Published in: | Mathematical Medicine and Biology |
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| Main Author: | |
| Format: | Text |
| Language: | English |
| Published: |
Oxford University Press
1997
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| Online Access: | http://imammb.oxfordjournals.org/cgi/content/short/14/1/71 https://doi.org/10.1093/imammb/14.1.71 |
| Summary: | A method of estimating historical forest-fire frequencies based on time-since-last-fire observations at a simple random sample of points in an area of undisturbed forest is presented. The historical-fire-hazard rate function is assumed to be piecewise constant (constant within distinct epochs separated by change points). The method is based on maximum likelihood, with the likelihood function incorporating two sources of randomness—the random occurrence and spread of fires, and the random selection of sample points. The fire model includes a contagion effect related to the spread of fires and the consequent spatial autocorrelation in the time-since-last-fire. An example using data from Wood Buffalo National Park is presented, and the effects of grouping data is discussed. |
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