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      Visual Parameter Space Analysis: A Conceptual Framework

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          Object recognition from local scale-invariant features

          D.G. Lowe (1999)
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            Random Number Generation and Quasi-Monte Carlo Methods

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              A nested model for visualization design and validation.

              We present a nested model for the visualization design process with four layers: characterize the problem domain, abstract into operations on data types, design visual encoding and interaction techniques, and create algorithms to execute techniques efficiently. The output from a level above is input to the level below, bringing attention to the design challenge that an upstream error inevitably cascades to all downstream levels. This model provides prescriptive guidance for determining appropriate evaluation approaches by identifying threats to validity unique to each level. We call attention to specific steps in the design and evaluation process that are often given short shrift. We also provide three recommendations motivated by this model:authors should distinguish between these levels when claiming contributions at more than one of them, authors should explicitly state upstream assumptions at levels above the focus of a paper, and visualization venues should accept more papers on domain characterization.
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                Author and article information

                Journal
                IEEE Transactions on Visualization and Computer Graphics
                IEEE Trans. Visual. Comput. Graphics
                Institute of Electrical and Electronics Engineers (IEEE)
                1077-2626
                December 31 2014
                December 31 2014
                : 20
                : 12
                : 2161-2170
                Article
                10.1109/TVCG.2014.2346321
                26356930
                0890e894-3331-441c-8ba8-1b0be32074ec
                © 2014
                History

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