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Accuracy vs Precision |
- The following examples exaggerate the results of saving
multiple waypoints near the Eiffel Tower with varying
degrees of accuracy and precison.
- Accuracy references how close measured values are to the
true value.
- Precision references how close measured values are to
each other.
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Accuracy = Poor |
Accuracy = Good |
Accuracy = Poor |
Accuracy = Good |
Precision = Poor |
Precision = Poor |
Precision = Good |
Precision = Good |
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Accuracy |
- Accuracy references how close measured values are to the
true value.
- Modern Garmin consumer grade receivers report GNSS
Accuracy as a two sigma (95th percentile) value.
- This means a receiver reporting an accuracy of 3.65m will
be within 3.65m of the true location 95 percent of the time.
- It is not possible for the receiver to determine
the actual difference between the reported position and true
position.
- If the receiver could determine the exact distance
from the true position, it would just provide the true
position.
- The accuracy value being reported is not the
literal accuracy but rather a probability of accuracy at
95%.
- For the example below, a Garmin GPSMAP 66sr was placed
directly above
Benchmark IEM1 (AJ3685).
- The
published
NGS Data Sheet Benchmark coordinates are N 33° 32'
32.55845" W 111° 39' 41.53522".
- The GPSMAP 66sr indicated a current position of N 33°
32.5428' W 111° 39.6939' with 6 ft. accuracy.
- Using the
FizzyCalc coordinate calculator we
found the actual distance between these two locations to be
8.4 ft.
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Garmin GPSMAP 66sr |
Expected Device Location |
Reported Location |
Reported Location |
Satellite Page Indicates |
is Within a 6 ft Radius of |
vs |
is 8.4 ft from published |
GNSS Accuracy is 6 ft |
Benchmark Coordinates |
Benchmark Location |
Benchmark Coordinates |
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Precision |
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hddd°mm'ss.ss" |
hddd°mm.mmmm' |
hddd.dddddd° |
Distance |
Application |
1° 00' 00.00" |
1° 01.0000' |
1.000000° |
111 km |
Can be used to identify a
country or large region |
0° 06' 00.00" |
0° 06.0000' |
0.100000° |
11.1 km |
Can be used to identify a
city or town |
0° 00' 36.00" |
0° 00.6000' |
0.010000° |
1.11 km |
Can be used to identify a
neighborhood |
0° 00' 03.60" |
0° 00.0600' |
0.001000° |
111 m |
Can be used to identify a
parcel of land |
0° 00' 00.36" |
0° 00.0060' |
0.000100° |
11.1 m |
Can be used to identify a
building or small structure |
0° 00' 00.03" |
0° 00.0006' |
0.000010° |
1.11 m |
Can be used to distinguish
one tree from another |
0° 00' 00.00" |
0° 00.0000' |
0.000001° |
11.1 cm |
Can be used to distinguish
individual persons or animals |
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- The map images below illustrate the smallest possible
area that can be identified when using the specified level
of precision at a given latitude.
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@ 0° Latitude, 1.0°
Longitude = 111 km |
@ 48° Latitude, 1.0°
Longitude = 74.6 km |
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@ 0° Latitude, 0.1° Longitude = 11.1 km |
@ 48° Latitude, 0.1°
Longitude = 7.46 km |
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@ 0° Latitude, 0.01° Longitude = 1.11 km |
@ 48° Latitude, 0.01°
Longitude = 746 m |
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@ 0° Latitude, 0.001° Longitude = 111 m |
@ 48° Latitude, 0.001°
Longitude = 74.6 m |
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@ 0° Latitude, 0.0001° Longitude = 11.1 m |
@ 48° Latitude, 0.0001°
Longitude = 7.46 m |
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@ 0° Latitude, 0.00001° Longitude = 1.11 m |
@ 48° Latitude, 0.00001°
Longitude = .746 m |
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