This thesis provides a detailed analysis of the functional data accuracy between Open Street Map data and Navteq road data. The analysis revealed that the average accuracy level ranged from 87.3% to 94.9% for buffer distances between 2 and 20 meters. Analyses were also performed to determine the predictability and spatial distributions of accuracy levels. The results showed that there is no statistical relationship between population density, education levels, or poverty levels when compared to the accuracy levels of OSM data. Further, no clearly discernible patterns in the spatial distribution of accuracy values for OSM data were found. The overall conclusion is that the expected accuracy of OSM data is comparable to that of commercially available solutions, and the only limitation on the use of this data is its use in routing critical services due to a lack of sufficient attribute information on many of the roadways in the OSM dataset.
","abstract_html":"<p>This thesis provides a detailed analysis of the functional data accuracy between Open Street Map data and Navteq road data. The analysis revealed that the average accuracy level ranged from 87.3% to 94.9% for buffer distances between 2 and 20 meters. Analyses were also performed to determine the predictability and spatial distributions of accuracy levels. The results showed that there is no statistical relationship between population density, education levels, or poverty levels when compared to the accuracy levels of OSM data. Further, no clearly discernible patterns in the spatial distribution of accuracy values for OSM data were found. The overall conclusion is that the expected accuracy of OSM data is comparable to that of commercially available solutions, and the only limitation on the use of this data is its use in routing critical services due to a lack of sufficient attribute information on many of the roadways in the OSM dataset.</p>","abstract_has_math":false,"creators":["Hode, Brett William"],"institution":null,"degree_name":"Master of Arts (MA)","degree_level":"Masters Thesis","degree_discipline":"Geography and Geology","degree_department":null,"school":null,"contributors":["George Raber","Bandana Kar"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2012,"date_issued":"2012-05-01T07:00:00Z","date_published":"2012-05-01T07:00:00Z","updated_at":"2026-07-24T05:45:06Z","subjects":[],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://aquila.usm.edu/masters_theses/539","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["George Raber","Bandana Kar"]},{"key":"dc:creator","label":"Author","values":["Hode, Brett William"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2018-11-15T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Geography and Geology"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Arts (MA)"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://aquila.usm.edu/masters_theses/539"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This thesis provides a detailed analysis of the functional data accuracy between Open Street Map data and Navteq road data. The analysis revealed that the average accuracy level ranged from 87.3% to 94.9% for buffer distances between 2 and 20 meters. Analyses were also performed to determine the predictability and spatial distributions of accuracy levels. The results showed that there is no statistical relationship between population density, education levels, or poverty levels when compared to the accuracy levels of OSM data. Further, no clearly discernible patterns in the spatial distribution of accuracy values for OSM data were found. The overall conclusion is that the expected accuracy of OSM data is comparable to that of commercially available solutions, and the only limitation on the use of this data is its use in routing critical services due to a lack of sufficient attribute information on many of the roadways in the OSM dataset.
"]},{"key":"dc:title","label":"Title","values":["Assessing the Functional Accuracy and Quality of Volunteered Geographic Information: A Comparison of Open Street Map and Navteq Road Datasets"]}]}],"canonical_facts":{"dc:contributor":["George Raber","Bandana Kar"],"dc:creator":["Hode, Brett William"],"dc:date.available":["2018-11-15T08:00:00Z"],"dc:description.abstract":["This thesis provides a detailed analysis of the functional data accuracy between Open Street Map data and Navteq road data. The analysis revealed that the average accuracy level ranged from 87.3% to 94.9% for buffer distances between 2 and 20 meters. Analyses were also performed to determine the predictability and spatial distributions of accuracy levels. The results showed that there is no statistical relationship between population density, education levels, or poverty levels when compared to the accuracy levels of OSM data. Further, no clearly discernible patterns in the spatial distribution of accuracy values for OSM data were found. The overall conclusion is that the expected accuracy of OSM data is comparable to that of commercially available solutions, and the only limitation on the use of this data is its use in routing critical services due to a lack of sufficient attribute information on many of the roadways in the OSM dataset.
"],"dc:identifier":["https://aquila.usm.edu/masters_theses/539"],"dc:title":["Assessing the Functional Accuracy and Quality of Volunteered Geographic Information: A Comparison of Open Street Map and Navteq Road Datasets"],"thesis:degree_discipline":["Geography and Geology"],"thesis:degree_level":["Masters Thesis"],"thesis:degree_name":["Master of Arts (MA)"]},"updated_at":"2026-07-24T05:45:06Z"}