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The median positional error for large multi-building and multi-unit parcels (24 m) was more than five times the median positional error for single and multi-family homes (3.8 m).
The median positional error of the E911 geocoded addresses was 46 meters and 211 meters for the automated method [ 18].
StreetMap and TIGER street network geocoding were found to have a significantly greater median positional error (23 m and 22 m respectively) than parcel geocoding (8 m).
After E911-converting the addresses, ArcView/NAVTEQ was able to geocode 96% of the addresses with a median positional error of only 39 meters.
Median positional error was significantly higher in street network geocoding (StreetMap USA = 23 m; TIGER = 22 m) than parcel geocoding (8 m).
Parcel geocoding had a significantly lower median positional error compared to both street network geocoding datasets for the "other" housing stock (Table 1).
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In addition, median positional errors using ArcView/NAVTEQ were smaller for post-E911 converted street addresses (20 meters, Table 2) compared to pre-E911 converted street addresses (236 meters, Table 1).
The median value of localization precision (positional error) is 12 nm.
We compared the geocoding match rate for TeleAtlas and ArcView/NAVTEQ before and after ZP4 LACS and E911 table conversions and report the median, 25th and 75th percentile of the positional error distributions in meters [ 14].
The small systematic positional error combined with the coarse position logic produce "gaps" in the HRC images.
The positional error ranges from 1 to 32,356 meters, with a median of 41 meters.
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