Abstract
Data quality describes the imperfections in geographic data. Imperfections are caused by imperfect realizations of the processes that are used to collect, translate, and classify the data. The tiered ontology gives a clarifying framework to analyze the data processes and the imperfections they introduce. The information infrastructure that processes the data and the decision methods using the data are adapted to compensate for some of the imperfections.
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Frank, A.U. (2008). Information Processes Produce Imperfections in Data—The Information Infrastructure Compensates for Them. In: Ruas, A., Gold, C. (eds) Headway in Spatial Data Handling. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68566-1_27
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