Abstract

Background
The process of geocoding produces output coordinates of varying degrees of quality. Previous studies have revealed that simply excluding records with low-quality geocodes from analysis can introduce significant bias, but depending on the number and severity of the inaccuracies, their inclusion may also lead to bias. Little quantitative research has been presented on the cost and/or effectiveness of correcting geocodes through manual interactive processes, so the most cost effective methods for improving geocoded data are unclear. The present work investigates the time and effort required to correct geocodes contained in five health-related datasets that represent examples of data commonly used in Health GIS.
Results
Geocode correction was attempted on five health-related datasets containing a total of 22,317 records. The complete …

Date

January 1, 1970

Authors

Daniel W Goldberg, John P Wilson, Craig A Knoblock, Beate Ritz, Myles G Cockburn

Journal

International journal of health geographics

Volume

7

Pages

1-20

Publisher

BioMed Central