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- W745024197 abstract "The number of houses at risk of wildfire continues to increase around the world and researchers continue to search for ways to minimise loss. This study examines the determinants of house damage in 28 forest fires from New South Wales, Australia between 2001 and 2009 (309 houses lost or damaged), and is notable for the large number of fires, the use of undamaged controls and the statistical methods that assist the isolation of independent effects on house damage. We focussed on factors in the immediate vicinity of the houses since this zone is where differences between damaged houses and neighbouring controls must occur. A range of spatial measures of vegetation, nearby buildings, waterbodies and topography were derived for each house from Google Earth and Geographic Information Systems data. Principal component analysis was used to select a set of predictors that best represented the variation in these measures. The selected variables were applied to a generalised additive mixed model analysis to derive the best and supported alternative models to predict house damage. The best model contained positive effects of vegetation cover in the garden and slope and negative effects of distance to the nearest building and distance to the nearest waterbody. Although this model explained only 15% of variation in house damage, the difference in predicted probability between a best‐case and worst‐case house was 0.47 suggesting that risk could be effectively mitigated by providing a water‐source, keeping the garden cover low and maintaining separation between houses." @default.
- W745024197 created "2016-06-24" @default.
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- W745024197 date "2014-01-01" @default.
- W745024197 modified "2023-09-24" @default.
- W745024197 title "Social construct of fuels in the interface: final report for the social construction of fuels in the interface (project one)" @default.
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