GPS Accuracy
Accuracy vs Precision
  Accuracy
  Precision
 
 
   
   

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.
Accuracy = Poor Accuracy = Good Accuracy = Poor Accuracy = Good
Precision = Poor Precision = Poor Precision = Good Precision = Good
 
 
 
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.
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
 
 
 
Precision
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

  • The map images below illustrate the smallest possible area that can be identified when using the specified level of precision at a given latitude.
@ 0° Latitude, 1.0° Longitude = 111 km @ 48° Latitude, 1.0° Longitude = 74.6 km
   
   
@ 0° Latitude, 0.1° Longitude = 11.1 km @ 48° Latitude, 0.1° Longitude = 7.46 km
   
   
@ 0° Latitude, 0.01° Longitude = 1.11 km @ 48° Latitude, 0.01° Longitude = 746 m
   
   
@ 0° Latitude, 0.001° Longitude = 111 m @ 48° Latitude, 0.001° Longitude = 74.6 m
   
   
@ 0° Latitude, 0.0001° Longitude = 11.1 m @ 48° Latitude, 0.0001° Longitude = 7.46 m
   
   
@ 0° Latitude, 0.00001° Longitude = 1.11 m @ 48° Latitude, 0.00001° Longitude = .746 m