Assessing the Quality of Open Spatial Data for Mobile Location-based Services Research and Applications

Ciepłuch, Błażej and Mooney, Peter and Jacob, Ricky and Zheng, Jianghua and Winstanley, Adam C. (2011) Assessing the Quality of Open Spatial Data for Mobile Location-based Services Research and Applications. Archives of Photogrammetry, Cartography and Remote Sensing, 22. pp. 105-116. ISSN 2083-2214

Download (265kB) | Preview

Share your research

Twitter Facebook LinkedIn GooglePlus Email more...

Add this article to your Mendeley library


New trends in GIS such as Volunteered Geographical Information (VGI), Citizen Science, and Urban Sensing, have changed the shape of the geoinformatics landscape. The OpenStreetMap (OSM) project provided us with an exciting, evolving, free and open solution as a base dataset for our geoserver and spatial data provider for our research. OSM is probably the best known and best supported example of VGI and user generated spatial content on the Internet. In this paper we will describe current results from the development of quality indicators for measures for OSM data. Initially we have analysed the Ireland OSM data in grid cells (5km) to gather statistical data about the completeness, accuracy, and fitness for purpose of the underlying spatial data. This analysis included: density of user contributions, spatial density of points and polygons, types of tags and metadata used, dominant contributors in a particular area or for a particular geographic feature type, etc. There greatest OSM activity and spatial data density is highly correlated with centres of large population. The ability to quantify and assess if VGI, such as OSM, is of sufficient quality for mobile mapping applications and Location-based services is critical to the future success of VGI as a spatial data source for these technologies.

Item Type: Article
Keywords: Databases; GIS; Mapping; Data Mining; Spatial Infrastructures; Internet/Web; Accuracy; Metadata;
Academic Unit: Faculty of Science and Engineering > Computer Science
Item ID: 4924
Depositing User: Dr. Adam Winstanley
Date Deposited: 29 Apr 2014 14:10
Journal or Publication Title: Archives of Photogrammetry, Cartography and Remote Sensing
Refereed: Yes

    Repository Staff Only(login required)

    View Item Item control page

    Document Downloads

    More statistics for this item...