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colors based on the frequency of each data value.</p>
<p><b><a name="Smoothing"></a>Smoothing</b></p>
<p>The user may select one of three types of smoothing kernels.
- The parameter, <i>r</i> or <tt>kernel radius</tt>, is defined
- as the following:</p>
- <blockquote> Boxcar function, where the width = 2<i>r</i>+1<br>
- Tophat function, where the radius = <i>r</i> and the diameter
- of kernel is 2<i>r</i>+1<br>
+ Two parameters, <i>r</i><i>&nbsp; (radius)</i> and <i><tt>k </tt></i><i>(kernel
+ size</i><i>)</i>, are defined as the following:</p>
+ <blockquote> Kernel width/height = <i>2k+1</i> with <i>r</i><i>
+ &lt;= </i><i><tt>k</tt></i><br>
+ Boxcar function, width = <i>2</i><i>r</i><i>+1</i><br>
+ Tophat function, where the diameter = <i>2r</i><i>+1</i><br>
Gaussian function, defined as:
<blockquote><img src="img/gauss.png" alt="Gaussian Equation"
width="173" height="38"><br>
</blockquote>
- where the mean = 0 and sigma =<i> r</i>/2, and the diameter of
- kernel is 2<i>r</i>+1 </blockquote>
+ where the mean = 0 and sigma =<i> r/2</i><br>
+ </blockquote>
<p><b><a name="Contours"></a>Contours</b></p>
<p>The contour algorithm is from an unknown author and originally
came from FV. The difference between the two modes are:<tt><br>