Quality evaluation of spatial data in raster format

  • Authors:

  • Jitka Komarkova;Pavel Sedlak;Petr Sramek;Jan Pitterle

  • Affiliations:

  • Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic;Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic;Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic;Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic

  • Venue:
  • AIASABEBI'11 Proceedings of the 11th WSEAS international conference on Applied informatics and communications, and Proceedings of the 4th WSEAS International conference on Biomedical electronics and biomedical informatics, and Proceedings of the international conference on Computational engineering in systems applications
  • Year:
  • 2011

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Abstract

A fast access to all relevant information is today a necessary precondition for decision-making process. It is supposed that information provided by an information system is at a sufficient quality level. To ensure a good quality of output information, only data of a good quality must be used. Therefore, many standards and data quality models have been developed. Later on, attention was focused on spatial data too. Spatial data have several specific properties so they cannot be evaluated directly according to the general quality models. The paper brings a short overview of spatial data quality evaluation and than it focuses on raster data. The main aim of the paper is to propose a set of quality characteristics and parameters for raster data within the framework of existing ISO standards. The proposed set is used to evaluate example data, which were chosen for solution of the given task. Results obtained using good and inappropriate data are shown too.