Literature DB >> 15366241

Improving geocoding practices: evaluation of geocoding tools.

Duck-Hye Yang1, Lucy Mackey Bilaver, Oscar Hayes, Robert Goerge.   

Abstract

This study examined the sources of error involved in geocoding, by systematically evaluating the strengths and weaknesses of three widely used tools for geocoding. We tested them against a random sample of addresses from a state administrative address master file and found considerable variation in identification of census block geocodes of addresses. This high variation was mainly attributable to differences in preprocessing of addresses before geocoding and the reference street data used for geocoding. Preprocessing includes not only parsing and standardizing, but also correcting addresses against the US Postal Service Zip+4 Database, the master mailing address database maintained and updated regularly by USPS.

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Year:  2004        PMID: 15366241     DOI: 10.1023/b:joms.0000032851.76239.e3

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  5 in total

1.  On the wrong side of the tracts? Evaluating the accuracy of geocoding in public health research.

Authors:  N Krieger; P Waterman; K Lemieux; S Zierler; J W Hogan
Journal:  Am J Public Health       Date:  2001-07       Impact factor: 9.308

2.  Post office box addresses: a challenge for geographic information system-based studies.

Authors:  Susan E Hurley; Theresa M Saunders; Rachna Nivas; Andrew Hertz; Peggy Reynolds
Journal:  Epidemiology       Date:  2003-07       Impact factor: 4.822

3.  Geocoding addresses from a large population-based study: lessons learned.

Authors:  Jane A McElroy; Patrick L Remington; Amy Trentham-Dietz; Stephanie A Robert; Polly A Newcomb
Journal:  Epidemiology       Date:  2003-07       Impact factor: 4.822

4.  Positional accuracy of geocoded addresses in epidemiologic research.

Authors:  Matthew R Bonner; Daikwon Han; Jing Nie; Peter Rogerson; John E Vena; Jo L Freudenheim
Journal:  Epidemiology       Date:  2003-07       Impact factor: 4.822

5.  Place, space, and health: GIS and epidemiology.

Authors:  Nancy Krieger
Journal:  Epidemiology       Date:  2003-07       Impact factor: 4.822

  5 in total
  14 in total

1.  Modeling travel impedance to medical care for children with birth defects using Geographic Information Systems.

Authors:  Eric M Delmelle; Cynthia H Cassell; Coline Dony; Elizabeth Radcliff; Jean Paul Tanner; Csaba Siffel; Russell S Kirby
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2013-09-02

2.  Use of a prospective space-time scan statistic to prioritize shigellosis case investigations in an urban jurisdiction.

Authors:  Roderick C Jones; Monica Liberatore; Julio R Fernandez; Susan I Gerber
Journal:  Public Health Rep       Date:  2006 Mar-Apr       Impact factor: 2.792

3.  The spatial epidemiology of trauma: the potential of geographic information science to organize data and reveal patterns of injury and services.

Authors:  Nadine Schuurman; S Morad Hameed; Robert Fiedler; Nathaniel Bell; Richard K Simons
Journal:  Can J Surg       Date:  2008-10       Impact factor: 2.089

4.  Arsenic in North Carolina: public health implications.

Authors:  Alison P Sanders; Kyle P Messier; Mina Shehee; Kenneth Rudo; Marc L Serre; Rebecca C Fry
Journal:  Environ Int       Date:  2011-09-10       Impact factor: 9.621

5.  Effect of geocoding errors on traffic-related air pollutant exposure and concentration estimates.

Authors:  Rajiv Ganguly; Stuart Batterman; Vlad Isakov; Michelle Snyder; Michael Breen; Wilma Brakefield-Caldwell
Journal:  J Expo Sci Environ Epidemiol       Date:  2015-02-11       Impact factor: 5.563

6.  Spatial autocorrelation among automated geocoding errors and its effects on testing for disease clustering.

Authors:  Dale L Zimmerman; Jie Li; Xiangming Fang
Journal:  Stat Med       Date:  2010-01-19       Impact factor: 2.373

7.  The effects of local street network characteristics on the positional accuracy of automated geocoding for geographic health studies.

Authors:  Dale L Zimmerman; Jie Li
Journal:  Int J Health Geogr       Date:  2010-02-16       Impact factor: 3.918

8.  Modeling the probability distribution of positional errors incurred by residential address geocoding.

Authors:  Dale L Zimmerman; Xiangming Fang; Soumya Mazumdar; Gerard Rushton
Journal:  Int J Health Geogr       Date:  2007-01-10       Impact factor: 3.918

9.  Comparing a single-stage geocoding method to a multi-stage geocoding method: how much and where do they disagree?

Authors:  Gina S Lovasi; Jeremy C Weiss; Richard Hoskins; Eric A Whitsel; Kenneth Rice; Craig F Erickson; Bruce M Psaty
Journal:  Int J Health Geogr       Date:  2007-03-16       Impact factor: 3.918

10.  Validation of the geographic position of EPER-Spain industries.

Authors:  Javier García-Pérez; Elena Boldo; Rebeca Ramis; Enrique Vidal; Nuria Aragonés; Beatriz Pérez-Gómez; Marina Pollán; Gonzalo López-Abente
Journal:  Int J Health Geogr       Date:  2008-01-11       Impact factor: 3.918

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