Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W1, 149-154, 2013
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-2-W1/149/2013/
doi:10.5194/isprsarchives-XL-2-W1-149-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
13 May 2013
ASSESSING VOLUNTEERED GEOGRAPHIC INFORMATION (VGI) QUALITY BASED ON CONTRIBUTORS' MAPPING BEHAVIOURS
D. Bégin1,2, R. Devillers1,2, and S. Roche2 1Department of Geography, Memorial University, St. John's (NL), Canada
2Centre de recherche en géomatique, Université Laval, Québec (QC), Canada
Keywords: Volunteered Geographic Information (VGI), OpenStreetMap (OSM), Contributors Behaviour, Spatial Data Quality Assessment, Data Completeness Abstract. VGI changed the mapping landscape by allowing people that are not professional cartographers to contribute to large mapping projects, resulting at the same time in concerns about the quality of the data produced. While a number of early VGI studies used conventional methods to assess data quality, such approaches are not always well adapted to VGI. Since VGI is a user-generated content, we posit that features and places mapped by contributors largely reflect contributors’ personal interests. This paper proposes studying contributors’ mapping processes to understand the characteristics and quality of the data produced. We argue that contributors’ behaviour when mapping reflects contributors’ motivation and individual preferences in selecting mapped features and delineating mapped areas. Such knowledge of contributors’ behaviour could allow for the derivation of information about the quality of VGI datasets. This approach was tested using a sample area from OpenStreetMap, leading to a better understanding of data completeness for contributor’s preferred features.
Conference paper (PDF, 618 KB)


Citation: Bégin, D., Devillers, R., and Roche, S.: ASSESSING VOLUNTEERED GEOGRAPHIC INFORMATION (VGI) QUALITY BASED ON CONTRIBUTORS' MAPPING BEHAVIOURS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-2/W1, 149-154, doi:10.5194/isprsarchives-XL-2-W1-149-2013, 2013.

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