Trust Indicator For Decisions Based On Geospatial Data

نویسندگان

  • Ivanildo Barbosa
  • Marco A. Casanova
چکیده

A large family of real-world applications are influenced by geospatial features and known relationships between them. Also, a very large volume of geospatial data is currently available from different sources, prepared for different applications, and with different levels of uncertainty. This paper presents a brief analysis about spatial, thematic, technical and temporal aspects of uncertainty and about how they influence the reliability of decisions based on such datasets. It also proposes an indicator to quantify the inherent reliability of such data, based on their provenance, completeness, spatial coverage and data lifetime. In particular, the indicator is applicable in the context of planning applications for which geospatial data are relevant in order to rank or discard available geospatial datasets.

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تاریخ انتشار 2011