deletions | additions       diff --git a/Everything.tex b/Everything.tex  index a8e68bd..af4819e 100644  --- a/Everything.tex  +++ b/Everything.tex 
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Lastly, all of the data sets downloaded consisted of monthly recorded data over time. However, the Ascension Island data had been recorded almost daily. This meant that the Ascension Island set contained more than 6000 points, which is huge compared to the other sets, being only a few hundred values. To reduce the number of values in the set, a reducing averaging function was used on the data set. This function took every fifteen points and averaged them together, and saved this as single point in a new matrix. All of dates were aborted for this data set, except for the initial and final dates. This function is depicted under \'script 3\' in the appendix. In total, this brought the data set down to a more reasonable 400 points.    \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 temperature  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 complicated  graphs. \par The fire data was very good and required very little processing. It was 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 below.     \begin{figure}[h!] 
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  \subsection{Data Analysis, Interpretation and Integration}    \par To further analyze the fire data, the number af of  fires and number of acres burned were plotted together using two separate y-axes. This plot clearly shows similar spikes in the data around 1975 to 1982 and what appears to be a divergence between the plots. This divergence indicates an increasing severity of fires as shown in the next figure. % Not done with this section yet.   \begin{figure}[h!]  \includegraphics[width=\textwidth]{FiresVSAcres.eps}