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Lookup NU author(s): Dr David Fairbairn, Maythm Al-Bakri
The assessment of data quality from different sources can be considered as a key challenge in supporting effective geospatial data integration and promoting collaboration in mapping projects. This paper presents a methodology for assessing positional and shape quality for authoritative large-scale data, such as Ordnance Survey (OS) UK data and General Directorate for Survey (GDS) Iraq data, and Volunteered Geographic Information (VGI), such as OpenStreetMap (OSM) data, with the intention of assessing possible integration. It is based on the measurement of discrepancies among the datasets, addressing positional accuracy and shape fidelity, using standard procedures and also directional statistics. Line feature comparison has been undertaken using buffering techniques and statistics, whilst shape metrics, including moments invariant, have been applied to assess polygon matching. The analyses are presented with a user-friendly interface which eases data input, computation and output of results, and assists in interpretation of the comparison. The results show that comparing the positional and shape characteristics of OS data and GDS data, and those of OSM data, indicates that caution should be exercised when considering their integration.
Author(s): Fairbairn D, Al-Bakri M
Publication type: Article
Publication status: Published
Journal: ISPRS International Journal of GeoInformation
Year: 2013
Volume: 2
Issue: 2
Pages: 349-370
Print publication date: 25/04/2013
Date deposited: 24/04/2013
ISSN (electronic): 2220-9964
Publisher: MDPIAG
URL: http://dx.doi.org/10.3390/ijgi2020349
DOI: 10.3390/ijgi2020349
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