An analysis of the process and results of manual geocode correction
Geocoding is the science and process of assigning geographical coordinates (<em>i.e.</em> latitude, longitude) to a postal address. The quality of the geocode can vary dramatically depending on several variables, including incorrect input address data, missing address components, and spe...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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PAGEPress Publications
2017-05-01
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| Series: | Geospatial Health |
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| Online Access: | http://geospatialhealth.net/index.php/gh/article/view/526 |
| _version_ | 1818118647352131584 |
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| author | Yolanda J. McDonald Michael Schwind Daniel W. Goldberg Amanda Lampley Cosette M. Wheeler |
| author_facet | Yolanda J. McDonald Michael Schwind Daniel W. Goldberg Amanda Lampley Cosette M. Wheeler |
| author_sort | Yolanda J. McDonald |
| collection | DOAJ |
| description | Geocoding is the science and process of assigning geographical coordinates (<em>i.e.</em> latitude, longitude) to a postal address. The quality of the geocode can vary dramatically depending on several variables, including incorrect input address data, missing address components, and spelling mistakes. A dataset with a considerable number of geocoding inaccuracies can potentially result in an imprecise analysis and invalid conclusions. There has been little quantitative analysis of the amount of effort (<em>i.e.</em> time) to perform geocoding correction, and how such correction could improve geocode quality type. This study used a low-cost and easy to implement method to improve geocode quality type of an input database (<em>i.e.</em> addresses to be matched) through the processes of manual geocode intervention, and it assessed the amount of effort to manually correct inaccurate geocodes, reported the resulting match rate improvement between the original and the corrected geocodes, and documented the corresponding spatial shift by geocode quality type resulting from the corrections. Findings demonstrated that manual intervention of geocoding resulted in a 90% improvement of geocode quality type, took 42 hours to process, and the spatial shift ranged from 0.02 to 151,368 m. This study provides evidence to inform research teams considering the application of manual geocoding intervention that it is a low-cost and relatively easy process to execute. |
| first_indexed | 2024-12-11T04:57:38Z |
| format | Article |
| id | doaj.art-133d22ba284f40fcae60eea17db12afc |
| institution | Directory Open Access Journal |
| issn | 1827-1987 1970-7096 |
| language | English |
| last_indexed | 2024-12-11T04:57:38Z |
| publishDate | 2017-05-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Geospatial Health |
| spelling | doaj.art-133d22ba284f40fcae60eea17db12afc2022-12-22T01:20:13ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962017-05-0112110.4081/gh.2017.526415An analysis of the process and results of manual geocode correctionYolanda J. McDonald0Michael Schwind1Daniel W. Goldberg2Amanda Lampley3Cosette M. Wheeler4Department of Geography, College of Geosciences, Texas A&M University, College Station, TXCollege of Science & Engineering, Texas A&M University Corpus Christi, Corpus Christi, TXDepartment of Geography, College of Geosciences, Texas A&M University, College Station, TXDepartment of Geography, College of Geosciences, Texas A&M University, College Station, TXSchool of Medicine, University of New Mexico, Albuquerque, NMGeocoding is the science and process of assigning geographical coordinates (<em>i.e.</em> latitude, longitude) to a postal address. The quality of the geocode can vary dramatically depending on several variables, including incorrect input address data, missing address components, and spelling mistakes. A dataset with a considerable number of geocoding inaccuracies can potentially result in an imprecise analysis and invalid conclusions. There has been little quantitative analysis of the amount of effort (<em>i.e.</em> time) to perform geocoding correction, and how such correction could improve geocode quality type. This study used a low-cost and easy to implement method to improve geocode quality type of an input database (<em>i.e.</em> addresses to be matched) through the processes of manual geocode intervention, and it assessed the amount of effort to manually correct inaccurate geocodes, reported the resulting match rate improvement between the original and the corrected geocodes, and documented the corresponding spatial shift by geocode quality type resulting from the corrections. Findings demonstrated that manual intervention of geocoding resulted in a 90% improvement of geocode quality type, took 42 hours to process, and the spatial shift ranged from 0.02 to 151,368 m. This study provides evidence to inform research teams considering the application of manual geocoding intervention that it is a low-cost and relatively easy process to execute.http://geospatialhealth.net/index.php/gh/article/view/526Manual geocode correctionGeocode inaccuraciesMatch rate improvementGeocode |
| spellingShingle | Yolanda J. McDonald Michael Schwind Daniel W. Goldberg Amanda Lampley Cosette M. Wheeler An analysis of the process and results of manual geocode correction Geospatial Health Manual geocode correction Geocode inaccuracies Match rate improvement Geocode |
| title | An analysis of the process and results of manual geocode correction |
| title_full | An analysis of the process and results of manual geocode correction |
| title_fullStr | An analysis of the process and results of manual geocode correction |
| title_full_unstemmed | An analysis of the process and results of manual geocode correction |
| title_short | An analysis of the process and results of manual geocode correction |
| title_sort | analysis of the process and results of manual geocode correction |
| topic | Manual geocode correction Geocode inaccuracies Match rate improvement Geocode |
| url | http://geospatialhealth.net/index.php/gh/article/view/526 |
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