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Data sampling is the first step in the process of scientific data analysis. This paper focuses on some mathematical aspects of data sampling. From this perspective, data are viewed as mathematical functions instead of just values. We show that continuity is the single most important quality of data (viewed as functions) which makes scientific data analysis and visualization meaningful and/or possible...
The absence of a uniform and comprehensive representation for complex scientific data makes the adaptation of database technology to multidisciplinary research projects difficult. In this paper, we clarify the taxonomy of data representations required for scientific database systems. Then, based on our proposed scientific database environment, we present a scientific data abstraction at the conceptual...
Given the size of today’s data, out-of-core visualization techniques are increasingly important in many domains of scientific research. In earlier work a technique called dynamic chunking [1] was proposed that can provide significant performance improvements for an out-of-core, arbitrary direction slicer application. In this work we validate dynamic chunking for several common data access patterns...