White Papers

Multidimensional Management of Geospatial Data Quality Information for Its Dynamic Use Within GIS

Overview Metadata should help users to assess the quality (fitness for use) of geospatial data, thus reducing the risk of data misuse. However, metadata presents limitations and remain largely unused. The research discussed in this paper aims to dynamically communicate quality information to the users in a rapid and intuitive way in order to reduce user meta uncertainty related to geospatial data quality, and then reduce the risks of data misuses. Using a multidimensional database approach, this paper proposes a conceptual framework named the Quality Information Management Model (QIMM) relying on quality dimensions and measures. This allows a user to easily and rapidly navigate into the quality information using a Spatial On-Line Analytical Processing (SOLAP) client-tied to its GIS application.

Further White Paper Details
PublisherAmerican Society for Photogrammetry and Remote Sensing File FormatPDF
Date PublishedFebruary 2005
FormatWhite Papers   
Topics
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