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Activity Number: 25
Type: Contributed
Date/Time: Sunday, August 3, 2008 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #301456
Title: Geocoding Accuracy: Effects of Geographic Features and Spatial Autocorrelation
Author(s): Jie Li*+ and Dale Zimmerman
Companies: The University of Iowa and The University of Iowa
Address: 213 Schaeffer Hall, The University of Iowa, iowa city, IA, 52242-1409,
Keywords: E911 ; geocoding error ; orhotphoto-based geocodes ; regression ; TIGER
Abstract:

We investigated two main research questions pertaining to geocoding accuracy of residential addresses using a dataset of 9298 geocoded addresses from Carroll County, Iowa. Three distinctly different geocodes were obtained: TIGER, E911, and orthophoto-based geocodes, with the latter regarded as the truth. Positional errors associated with TIGER and E911 geocoding were thus determined. Geographic characteristics associated with each address were also determined, some of which were found to have statistically significant effects on the magnitudes of geocoding errors. Furthermore, treating the positional error of each standard geocode as a spatially indexed attribute variable, we found highly significant evidence of spatial autocorrelation for this variable. The implications of these findings for statistical modeling of geocoded data are discussed.

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