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where N (≥r) is the count <strong>of</strong> clasts with a radius greater than or equal to r, k is a<br />
unit-dependent constant, and D s is the fractal dimension for clast distribution, and<br />
it is considered to be a measure <strong>of</strong> fracture resistance relative to the mechanism<br />
or process <strong>of</strong> fragmentation. D s is proportional to the magnitude and rate <strong>of</strong><br />
stress loading, the inherent strength properties <strong>of</strong> the rock, and the possibility <strong>of</strong><br />
repeated fracturing events, and therefore can be used to determine the<br />
mechanis<strong>ms</strong> involved in rock fragmentation (Figure 5.3). It is also sensitive to<br />
any secondary mechanis<strong>ms</strong> that may alter the original distribution. The negative<br />
slope signifies the advance <strong>of</strong> clast population with decreased size.<br />
When producing results for CSD, the clasts in breccias are not perfect<br />
spheres, therefore one must correlate the volume <strong>of</strong> the clast with an equivalent<br />
value for radius (equal area diameter <strong>of</strong> Brittain, 2001; Bjork et al., 2009)<br />
calculated by defining a circle with an area identical to that <strong>of</strong> the clast <strong>of</strong> interest<br />
(5.4)<br />
The radius value is directly proportional to the area <strong>of</strong> the clast and is therefore<br />
both suitable for CSD analysis and allows for coherent comparison <strong>of</strong> data to<br />
other studies, as using an equivalent radius/diameter value is the most popular<br />
method to display CSD data from 2 dimensional sources (Barnett, 2004; Farris<br />
and Paterson, 2007; Bjork et al., 2009).<br />
Sample bias from the inability to see the finest clast populations can<br />
produce a non-fractal trend for finer-scale populations; therefore it is necessary<br />
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