Supplement 2. Extended analysis of the Great Barrier Reef data set. This document is provided as part of the documentation of the R package gradientForest.

<h2>File List</h2><p> 1. <a href="biodiversity-survey.pdf">biodiversity-survey.pdf</a><br> 2. <a href="GZ.phys.site.Rdata">GZ.phys.site.Rdata</a><br> 3. <a href="GZ.sps.mat.Rdata">GZ.sps.mat.Rdata</a><br> 4. <a href="GZ.phys.grid.Rdata">GZ.phys.grid.Rdata</a> </p><h2>Description</h2><p>1. This is a vignette from the R package gradientForest, which is available at <a href="http://gradientforest.r-forge.r-project.org">http://gradientforest.r-forge.r-project.org</a>. The vignette demonstrates the use of the gradient forest method for ecological analysis of biodiversity survey data from a region in the far north Great Barrier Reef. The 3 data files used in the vignette are provided as R data files in this supplement. Alternatively, in an R session once the package has been loaded, the data can be made available using the command data(GBRexample).</p> <p>2. R data file for data frame Phys_site containing 28 environmental predictors at the 197 sample sites.</p> <div> -- TABLE: Please see in attached file. -- </div> <p>3. R data file for matrix Sp_mat containing log(<i>y</i> + <i>c</i>)-transformed species abundance (where <i>c</i> is the minimum positive abundance <i>y</i>) at the 197 sample sites.</p> <p>4. R data file for data frame Phys_grid containing the above 28 environmental variables extrapolated onto 8682 locations on a fine-scale 0.01° × 0.01° grid. The variables NORTH and EAST are included so that the predictions can be plotted geographically.</p>