dc.contributor.author	Jiang, Shenghui	en_US
dc.contributor.author	Fang, Shiaofen	en_US
dc.contributor.author	Grannis, Shaun	en_US
dc.contributor.editor	Enrico Bertini and Niklas Elmqvist and Thomas Wischgoll	en_US
dc.date.accessioned	2016-06-09T09:42:28Z
dc.date.available	2016-06-09T09:42:28Z
dc.date.issued	2016	en_US
dc.identifier.isbn	978-3-03868-014-7	en_US
dc.identifier.issn	-	en_US
dc.identifier.uri	http://dx.doi.org/10.2312/eurovisshort.20161170	en_US
dc.identifier.uri	https://diglib.eg.org:443/handle/10
dc.description.abstract	We introduce a new visualization method for temporal data, Spiral Theme Plot, by combining ThemeRiver method, spiral patterns, and scatter plot technique. Similar to ThemeRiver, data in different categories (themes) are visualized in different bands, but also in a spiral pattern. Themes are stacked along a spiral curve, which represent the time axis. Individual data points are plotted within the regions of the themes, with various visual features. In addition to showing the overall theme patterns over time, this approach also shows plotting patterns within the themes. Compared to ThemeRiver, Spiral Theme Plot can accommodate longer time axis, and more importantly, can provide periodic patterns that are typically not available in ThemeRiver.	en_US
dc.publisher	The Eurographics Association	en_US
dc.subject	Keywords	en_US
dc.subject	Temporal data visualization	en_US
dc.subject	Theme River	en_US
dc.subject	Scatter plot.	en_US
dc.subject	I.3.3 [Computer Graphics]	en_US
dc.subject	Picture/Image Generation	en_US
dc.subject	Line and curve generation	en_US
dc.title	Spiral Theme Plot	en_US
dc.description.seriesinformation	EuroVis 2016 - Short Papers	en_US
dc.description.sectionheaders	Design, Evaluation, and Applications	en_US
dc.identifier.doi	10.2312/eurovisshort.20161170	en_US
dc.identifier.pages	109-112	en_US

Spiral Theme Plot

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