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dc.contributor.authorBuchmüller, Juri F.en_US
dc.contributor.authorSchlegel, Udoen_US
dc.contributor.authorCakmak, Erenen_US
dc.contributor.authorKeim, Daniel A.en_US
dc.contributor.authorDimara, Evanthiaen_US
dc.contributor.editorTurkay, Cagatay and Vrotsou, Katerinaen_US
dc.date.accessioned2020-05-24T13:31:28Z
dc.date.available2020-05-24T13:31:28Z
dc.date.issued2020
dc.identifier.isbn978-3-03868-116-8
dc.identifier.issn2664-4487
dc.identifier.urihttps://doi.org/10.2312/eurova.20201078
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurova20201078
dc.description.abstractCompact visual summaries of spatio-temporal movement data often strive to express accurate positions of movers. We present SpatialRugs, a technique to enhance the spatial awareness of movements in dense pixel visualizations. SpatialRugs apply 2D colormaps to visualize location mapped to a juxtaposed display. We explore the effect of various colormaps discussing perceptual limitations and introduce a custom color-smoothing method to mitigate distorted patterns of collective movement behavior.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.subjectHuman centered computing
dc.subjectVisualization techniques
dc.titleSpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizationsen_US
dc.description.seriesinformationEuroVis Workshop on Visual Analytics (EuroVA)
dc.description.sectionheadersVisual Analytics Methods and Applications
dc.identifier.doi10.2312/eurova.20201078
dc.identifier.pages1-5


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License