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  \subsection{Data Reduction and Processing}  \par The carbon dioxide data was located and downloaded from NOAA's(????) climate change website. The data sets contained very little errors which required adjustment.  \par After downloading the temp anomaly data from NOAA, the raw data was cleaned up and formated in a text editor to easily be integrated into MATLAB, where it was plotted in reference to time in years.  \begin{figure}[h]  \includegraphics[width=\textwidth]{raw}  \end{figure}  The data goes all the way back into the 1800's, and is very dense with spikes and fluctuations, so the data was smoothed out by averaging neighboring values, creating less confusing graphs.  \par  The fire data was very good and required very little processing. It wassmall  a small dataset and did not need reducing. The only processing required was flipping the data so it went from 1960 to 2014 instead of the other way around and separating the years, acres, and fires, into three different vectors. The number of fires and acres burned were first plotted separately and lines were fitted to them to show the overall trend to the data. Equations to the lines are shown on the figures.   \begin{figure}[h!]  \includegraphics[width=\textwidth]{Fires.eps}