dc.contributor.author | Buchmüller, Juri F. | en_US |
dc.contributor.author | Schlegel, Udo | en_US |
dc.contributor.author | Cakmak, Eren | en_US |
dc.contributor.author | Keim, Daniel A. | en_US |
dc.contributor.author | Dimara, Evanthia | en_US |
dc.contributor.editor | Turkay, Cagatay and Vrotsou, Katerina | en_US |
dc.date.accessioned | 2020-05-24T13:31:28Z | |
dc.date.available | 2020-05-24T13:31:28Z | |
dc.date.issued | 2020 | |
dc.identifier.isbn | 978-3-03868-116-8 | |
dc.identifier.issn | 2664-4487 | |
dc.identifier.uri | https://doi.org/10.2312/eurova.20201078 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/eurova20201078 | |
dc.description.abstract | Compact 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.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | ] |
dc.subject | Human centered computing | |
dc.subject | Visualization techniques | |
dc.title | SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations | en_US |
dc.description.seriesinformation | EuroVis Workshop on Visual Analytics (EuroVA) | |
dc.description.sectionheaders | Visual Analytics Methods and Applications | |
dc.identifier.doi | 10.2312/eurova.20201078 | |
dc.identifier.pages | 1-5 | |