STAR*NET V6 - Circe
STAR*NET V6 - Circe
STAR*NET V6 - Circe
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Chapter 4 Options<br />
The default method used in <strong>STAR*NET</strong> to compute the actual standard error used<br />
for a distance is to add the constant and the proportional parts. This method, called<br />
the “additive” method, is preferred by most manufacturers.<br />
For a distance of 2,000 feet, a constant of 0.016 feet and a 3 ppm part:<br />
Std Error = 0.016 + (3 ppm x 2,000 feet) / 1,000,000 = 0.022 feet<br />
Another method preferred by some is called the “propagated” method in which the<br />
standard error is computed by taking the square root of the sum of the squares of the<br />
two parts. This method is available by using a special “.EDM” inline option. See the<br />
section “ Inline Options” in Chapter 5 for details on its use.<br />
Note that standard errors for distances explicitly entered on data lines are not<br />
affected by an entered ppm value. Only those distances accepting the default<br />
standard error are affected by the proportional ppm part.<br />
Elev Diff PPM – Since an elevation difference is often derived from measuring a<br />
zenith angle and slope distance, you may want to inflate its actual standard error<br />
based on how large the distance is by applying a PPM. This PPM is based on the<br />
slope distance between the instrument and target, not the elevation difference.<br />
<strong>STAR*NET</strong> calculates this slope distance using the given or computed approximate<br />
coordinates for the instrument and target stations. Entering a ppm value for elevation<br />
difference observations cause larger total standard errors (less weight) to be applied<br />
when long slope distances are involved than short.<br />
The method used to compute the actual standard error value is to add the constant<br />
and the proportional parts. For example, using a standard error of 0.05 feet and 25<br />
ppm, the total standard error for an elevation difference observation measured along<br />
a slope distance of 1,000 would be:<br />
Std Error = 0.05 + (25 ppm x 1,000 feet) / 1,000,000 = 0.0750 feet<br />
The value you actually use for “ppm” must be some value you feel comfortable with,<br />
and should be based on your experience in the field. A good value to start with might<br />
be the 25 ppm figure used in the example above. To do a rough validity check on this<br />
figure, assume a zenith angle uncertainty of plus or minus 5 seconds. Therefore, the<br />
vertical distance error calculated using a 5 second arc swing over a distance of<br />
1,000,000 feet is about 25 feet, therefore the 25 ppm. Or for example, if you feel<br />
your zenith angle uncertainty is more in the 10 second range, then you might use 50<br />
ppm for your proportional elevation difference standard error.<br />
This method of calculating the total standard error for an elevation difference is an<br />
empirical approach. An alternate but more complex method is to propagate the<br />
uncertainties of both the measured distance and zenith angle. However, based on<br />
normal survey measurements and practices, we believe this method will provide a<br />
proper yet easy to understand way of weighting these derived measurements.<br />
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