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dc.contributor.authorHenkel, Markusen_US
dc.contributor.authorKnauthe, Volkeren_US
dc.contributor.authorLandesberger, Tatiana vonen_US
dc.contributor.authorGuthe, Stefanen_US
dc.contributor.editorKrüger, Jens and Niessner, Matthias and Stückler, Jörgen_US
dc.date.accessioned2020-09-27T18:14:10Z
dc.date.available2020-09-27T18:14:10Z
dc.date.issued2020
dc.identifier.isbn978-3-03868-123-6
dc.identifier.urihttps://doi.org/10.2312/vmv.20201191
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vmv20201191
dc.description.abstractTreemaps illustrate hierarchical data, such as file systems or budget structures. Colors are often used to encode additional information or to emphasize the tree structure. Given a treemap, one may want to retrieve the underlying data. However, treemap reconstruction is challenging, as the inner tree structure needs to be derived almost exclusively from leaf node rectangles. Furthermore, treemaps are well known to suffer from ambiguities, i.e., different input data may produce the same drawing. We present a novel reconstruction approach for slice-and-dice treemaps. Moreover, we evaluate the influence of five color schemes to resolve ambiguities. Our work can be used for the reproducibility of published data and for assessing ambiguities in slice-and-dice treemaps.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman centered computing
dc.subjectTreemaps
dc.titleData Reconstruction from Colored Slice-and-Dice Treemapsen_US
dc.description.seriesinformationVision, Modeling, and Visualization
dc.description.sectionheadersData Transformation
dc.identifier.doi10.2312/vmv.20201191
dc.identifier.pages89-97


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