STAR*NET V6 - Circe
STAR*NET V6 - Circe
STAR*NET V6 - Circe
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Chapter 4 Options<br />
What standard error settings should be used as project defaults?<br />
Before you can determine what standard errors to use as project defaults, you must know<br />
the standard deviations of measurement types based on the equipment used. These are<br />
called the “population” standard deviations, meaning they are statistically derived from a<br />
large number of measurements. There are two ways of determining these values:<br />
1. Compute Them from Testing: You can set up a controlled field test and observe<br />
many repetitions of angles and distances. The procedure is described in many text<br />
books, however it is seldom used because of the time and effort required.<br />
2. Use Manufacturer’s Specifications: This method is used by most surveyors. If your<br />
equipment is in proper working order and you follow accepted procedures, you can<br />
use the manufacturer’s population standard deviation estimates as a basis for<br />
determining what standard errors to use as default settings for your project.<br />
Note that most theodolite specifications are stated in terms of a “pointing” precision, the<br />
ability to repeat a reading to a single point. An “angle” is made up of two pointings.<br />
Therefore, if a given pointing specification is 5 seconds, you would propagate an angle<br />
standard deviation by taking 5 seconds times SQRT (2) = 7.07 seconds.<br />
As an example of population standard deviations for a total station, let’s use 7.0 seconds<br />
for angles, 5.0 seconds for pointings, and 0.03 feet plus 4 ppm for distances. Using these<br />
manufacturer’s population standard deviations, what standard error values should be<br />
used as the project options instrument default settings?<br />
First of all, the term “standard error” is short for “standard error of the mean.” It is an<br />
estimate of the uncertainty of the mean (or average) of a set of field observations. The<br />
equation for standard error of the mean is:<br />
Std Error = Std Deviation / SQRT ( Number of Observations Averaged )<br />
If you average 4 angles, use 7.0 / SQRT (4) = 3.5 seconds as the standard error setting<br />
for angles. If you average 4 direction pointings, use 5.0 / SQRT (4) = 2.5 seconds as the<br />
standard error setting for directions. And likewise, if you average 2 distances, divide the<br />
0.03 feet and 4 ppm by SQRT (2) and use 0.021 feet and 2.8 ppm as the standard error<br />
settings for distances.<br />
It is important to note that the standard errors calculated above are dependent only on the<br />
population standard deviations and the numbers of observations averaged. They are in no<br />
way dependant on the values or spreads of the actual averaged observations!<br />
If you do not average observations (i.e. you enter every repeated measurement), simply<br />
use the manufacturer’s standard deviations as your default standard errors. For example,<br />
if you repeat an angle 4 times and enter all 4 observations, each angle would be given the<br />
standard error of 7.0 seconds. Although more lines of data are created by entering every<br />
measurement, some users prefer doing this knowing that their observations are always<br />
correctly weighted in the adjustment, independent of the number of repeats.<br />
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