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Spatial Data Quality: Problems and Prospects

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Research Trends in Geographic Information Science

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

This paper reflects upon the topic of spatial data quality and the progress made in this field over the past 20-30 years. While international standards have been established, theoretical models of error developed, new visualization techniques introduced, and metadata now routinely documented for spatial datasets, difficulties nevertheless exist with the way data quality information is being described, communicated and applied in practice by users. These problems are identified and the paper suggests how the spatial information community might move forward to overcome these obstacles.

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Author information

Authors and Affiliations

  1. Department of Geomatics, University of Melbourne, Parkville, VIC 3010, Australia

    Gary J. Hunter

  2. Center for Geo-Information, Wageningen UR, PO Box 47, Wageningen, 6700 AA, Netherlands

    Arnold K. Bregt, Gerard B.M. Heuvelink & Sytze De Bruin

  3. Department of Surveying, Helsinki University of Technology, Otakaari 1, Espoo, Finland

    Kirsi Virrantaus

Authors
  1. Gary J. Hunter
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  2. Arnold K. Bregt
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  3. Gerard B.M. Heuvelink
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  4. Sytze De Bruin
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  5. Kirsi Virrantaus
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Corresponding author

Correspondence to Gary J. Hunter .

Editor information

Editors and Affiliations

  1. Inst. Geoinformation, TU Wien, Gußhausstr. 27-29 E127, Wien, 1040, Austria

    Gerhard Navratil

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Hunter, G.J., Bregt, A.K., Heuvelink, G.B., De Bruin, S., Virrantaus, K. (2009). Spatial Data Quality: Problems and Prospects. In: Navratil, G. (eds) Research Trends in Geographic Information Science. Lecture Notes in Geoinformation and Cartography(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88244-2_8

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