All documentation we have found states that recorded accuracies in GNSS metadata are at 63-68% confidence for horizontal accuracy and 68% confidence for vertical accuracy.
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Here is how it is calculated. It is shown at the doc Jean-Yves points out.
Horizontal accuracy:
Accuracyr = 1.7308 * RMSEr
Vertical accuracy:
Accuracyz = 1.9600 *RMSEz
This is correct. GNSS receivers usually output estimated accuracies in rms. If you need 95% confidence, the best is to enable the 95% confidence level in Collector in the settings. This won’t give you exactly what you are looking for, but at least you will be recording with 95% confidence but with rms values saved.
Record GPS metadata—Collector for ArcGIS (Classic) | ArcGIS
See the note below...
Good luck.
Any ideas on what collector does when 95% confidence is enabled?
I assume a calculation is performed using the rms values provide by the GPS receiver that allows collector to determine the accuracy at the 95% confidence level.
Perhaps we can recreate that expression in a field calculation to report the 95% confidence values in the feature attributes along with the rms values already supported?
David,
this might help you: https://www.fgdc.gov/standards/projects/FGDC-standards-projects/accuracy/part3/chapter3
JY
Here is how it is calculated. It is shown at the doc Jean-Yves points out.
Horizontal accuracy:
Accuracyr = 1.7308 * RMSEr
Vertical accuracy:
Accuracyz = 1.9600 *RMSEz