2010
DOI: 10.1111/j.1467-9671.2010.01211.x
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Improving Geocode Accuracy with Candidate Selection Criteria

Abstract: Geocoding systems typically use more than one geographic reference dataset to improve match rates and spatial accuracy, resulting in multiple candidate geocodes from which the single "best" result must be selected. Little scientific evidence exists for formalizing this selection process or comparing one strategy to another, leading to the approach used in existing systems which we term the hierarchy-based criterion: place the available reference data layers into qualitative, static, and in many cases, arbitrar… Show more

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Cited by 28 publications
(30 citation statements)
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“…Details of the process, used by cancer registries throughout the U.S., are provided elsewhere. 17 Briefly, address records were geocoded to the centroid of the smallest resolvable area based on the address completeness, ranging from tax assessor parcels to state centroid when no address information was available (in <0.1% of cases). In previous work, this method substantially improved spatial resolution.…”
Section: Methodsmentioning
confidence: 99%
“…Details of the process, used by cancer registries throughout the U.S., are provided elsewhere. 17 Briefly, address records were geocoded to the centroid of the smallest resolvable area based on the address completeness, ranging from tax assessor parcels to state centroid when no address information was available (in <0.1% of cases). In previous work, this method substantially improved spatial resolution.…”
Section: Methodsmentioning
confidence: 99%
“…All birth addresses were geocoded using the University of Southern California Geographic Information System (GIS) Laboratory’s open-source geocoder [25]. Depending on the completeness of the address, geocode matches were tax-assessor parcel centroid, street segment centroid, street centroid, US Postal Service ZIP Code Tabulation Area (ZCTA) centroid, town/city centroid, county centroid, or state centroid (for those with unknown addresses).…”
Section: Methodsmentioning
confidence: 99%
“…However, this is simply not the case as evidenced by the broad range of academic disciplines that have contributed to our understanding and the development of geocoding techniques including but not limited to geography and geographic information science[20, 31, 33, 34], computer science[24, 3537], and mathematics and statistics[38–41]. Published research reports describe several competing geocoding techniques (see [42] for a review), and prior work has described how a one-size-fits-all geocoding approach is simply not appropriate[19, 21–23].…”
Section: Introductionmentioning
confidence: 99%
“…When parcels are used in urban areas, the spatial uncertainty associated with an output geocode can often be lower than a corresponding linear interpolation-based output[54]; however, the same cannot be said as confidently in rural areas[81, 82].The spatial uncertainty associated with each geocode is typically not included in the computation of disease rates, although recent research reports have made calls for it to be included [24]. The proposed quantitative approaches to describing uncertainty as equally distributed across the full area of the areal unit would some what overcome the false clustering described above because although they would still output the same geographic location at the ZIP code level given two addresses in the same ZIP code, each would have a low confidence score of being in the correct location which could be used to weight a level of confidence for disease rates based on them[24, 37]. …”
Section: Introductionmentioning
confidence: 99%