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