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For a case study of Orange County, Florida, we determined the positional error of geocoding of school locations through comparisons with a parcel database and digital orthophotography.
We determined the actual location of each school by using a detailed 1 2,000 digital parcel database for 2005 for Orange County Orange Countyy Property Appraiser 2005).
These estimates are similar to those found in previous studies [ 4, 5, 7, 9, 12- 15] and were obtained using a street network and parcel database of very high positional accuracy.
For a case-study of a large sample of school children in Orange County, Florida (n = 104,865) the positional error of street geocoding was determined through comparison with a parcel database.
For comparative purposes, a TIGER street network for 2000 and a StreetMap USA street network for 2005 were obtained; for 25 randomly selected segments where the address range in the street centerline data was known to be incorrect (i.e. assumed to be rounded to 100 while the range in the parcel database was smaller), both the TIGER and StreetMap USA data revealed identical errors.
These 163,886 addresses were street geocoded using a 1 5,000 street centerline network from Orange County for 2005 and parcel geocoded using a 1 2,000 parcel database of the Property Appraisers Office of Orange County for 2005, both using ArcGIS 9®.
Similar(6)
Geocode location uncertainty can be estimated using tax parcel databases in a GIS.
In this process, many different street centerline and parcel databases were used to enhance the accuracy and completeness of address matching.
The positional error analysis was restricted to the 647 participant addresses that were successfully geocoded to StreetMap, TIGER and parcel databases.
Geocoding to tax parcel databases has been used less frequently, but has been shown in this study and others to introduce less positional error than geocoding to street networks [ 12, 14].
Geocoding to local or county created tax parcel databases is used less frequent in environmental health studies, but has been shown in this study and others to introduce less positional error than geocoding to street networks [ 19, 23, 26].
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