CorrelatedMultiples: Spatially Coherent Small Multiples With Constrained Multi‐Dimensional Scaling

dc.contributor.authorLiu, Xiaotongen_US
dc.contributor.authorHu, Yifanen_US
dc.contributor.authorNorth, Stephenen_US
dc.contributor.authorShen, Han‐Weien_US
dc.contributor.editorChen, Min and Benes, Bedrichen_US
dc.date.accessioned2018-04-05T12:48:34Z
dc.date.available2018-04-05T12:48:34Z
dc.date.issued2018
dc.description.abstractDisplaying small multiples is a popular method for visually summarizing and comparing multiple facets of a complex data set. If the correlations between the data are not considered when displaying the multiples, searching and comparing specific items become more difficult since a sequential scan of the display is often required. To address this issue, we introduce CorrelatedMultiples, a spatially coherent visualization based on small multiples, where the items are placed so that the distances reflect their dissimilarities. We propose a constrained multi‐dimensional scaling (CMDS) solver that preserves spatial proximity while forcing the items to remain within a fixed region. We evaluate the effectiveness of our approach by comparing CMDS with other competing methods through a controlled user study and a quantitative study, and demonstrate the usefulness of CorrelatedMultiples for visual search and comparison in three real‐world case studies.en_US
dc.description.number1
dc.description.sectionheadersArticles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume37
dc.identifier.doi10.1111/cgf.12526
dc.identifier.issn1467-8659
dc.identifier.pages7-18
dc.identifier.urihttps://doi.org/10.1111/cgf.12526
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf12526
dc.publisher© 2018 The Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectinformation visualization
dc.subjectsmall multiples
dc.subjectmulti‐dimensional scaling
dc.subjectI.3.3 [Computer Graphics]: Picture/Image Generation‐Display algorithms
dc.titleCorrelatedMultiples: Spatially Coherent Small Multiples With Constrained Multi‐Dimensional Scalingen_US
Files
Collections