Back to results

University of Southern Mississippi

Assessing the Functional Accuracy and Quality of Volunteered Geographic Information: A Comparison of Open Street Map and Navteq Road Datasets

Abstract

dc:description.abstract

<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>

Degree

thesis:*
Name thesis:degree_name
Master of Arts (MA)
Level thesis:degree_level
Masters Thesis
Discipline thesis:degree_discipline
Geography and Geology
Year dc:date.available
2012

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hode, Brett William
Contributors dc:contributor
  • George Raber
  • Bandana Kar

Identifiers

dc:identifier.*
Repository record dc:identifier
https://aquila.usm.edu/masters_theses/539
OAI identifier oai:identifier
oai:aquila.usm.edu:masters_theses-1588

Chain of custody

source
Harvested from
University of Southern Mississippi
Base URL
aquila.usm.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Hode, Brett William. Assessing the Functional Accuracy and Quality of Volunteered Geographic Information: A Comparison of Open Street Map and Navteq Road Datasets. Masters Thesis thesis, 2012. https://aquila.usm.edu/masters_theses/539