This dataset is a 270-m cell size raster representing projected percent change in relative probability of large fires from baseline to projected near term future (2020-2050) conditions using CNRM-CM5, RCP 8.5. This model used 9 explanatory variables: topographic heterogeneity, Santa Ana wind speed, minimum temperature, annual precipitation, distance to roads, dead wood biomass, topographic position, distance to development, and southwest index. This model had a mean 10-fold cross-validated test AUC of 0.67, overall accuracy of 0.64, and TSS of 0.29.
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