Supplement 1. Sample R script and data for analyzing fuel treatment effects on burn severity using ordinary least-squares regression and sequential autoregression.

File List camp32.R -- R code for analysis of the Camp 32 fire camp32.csv -- Data file for the Camp 32 fire Description The camp32.R file is an ASCII file containing R code for fitting ordinary least squares regression (OLS) and sequential autoregression (SAR) modeling and for mapping the decomposition of the SAR model. The camp32.csv file is a comma-delimited ASCII file containing data from a 25% sample of 30 m raster cells from the Camp 32 fire. Column definitions: x = UTM easting of the cell center y = UTM northing of the cell center dnbr = Differenced normalized burn ratio trtmt = Fuel treatment: U = untreated; T = thinned; TB = thinned and burned elev = Elevation in meters asp_hl = Heat load index, ranging from 0 on southwest aspects to 1 on northeast aspects slop = Slope angle in percent fm40 = Fire behavior fuel model: Codes are from Scott and Burgan (2005) cc = Percent canopy cover Checksum values: dnbr: Checksum=381706, 0 missing values elev: Checksum=178768, 0 missing values cc: Checksum=67170, 0 missing values