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How can we record accuracies at 95% confidence when using high-accuracy GPS and collector?

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11-17-2019 08:03 PM
DavidPetrik
New Contributor

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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MiaogengZhang
Esri Regular Contributor

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

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Jean-YvesLauture
Regular Contributor

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.

DavidPetrik
New Contributor

Derek Law

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?

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Jean-YvesLauture
Regular Contributor
MiaogengZhang
Esri Regular Contributor

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