DouglasFire

R script for 2013 Douglas Complex analyses, Oregon USA. Uses DouglasFire.RData file which contains two dataframes (douglas.fire.progression.rdnbdr.wx, blm.pi.sample.allvars.xy.df) douglas.fire.progression.rdnbdr.wx contains data on daily hectares burned, daily mean Relative difference Normalized Burn Ratio (RdNBR), and daily fire weather variables for Douglas Complex. blm.pi.sample.allvars.xy.df contains plot data of RdNBR, ownwrship class, topographic variables, fire weather, and pre-fire forest biomass. DouglasFire.R is R script for conducting the following statistical analyses on the two dataframes: 1. regressions of daily mean RdNBR in relation to individual fire weather (Wx) variables. 2. summary stats (mean and standard deviation) of response and predictor variables by ownership class. 3. Mann-Whitney-Wilcoxon Test of differences in distributions of response and predictor variables between ownership classes. 4. Random forest models of RdNBR in relation to predictor variables 5. Generalized least squares model of RdNBR in relation to predictor variables