Visualizing Uncertainty in Cultural Heritage Collections

dc.contributor.authorWindhager, Florianen_US
dc.contributor.authorFilipov, Velitchko Andreeven_US
dc.contributor.authorSalisu, Saminuen_US
dc.contributor.authorMayr, Evaen_US
dc.contributor.editorKai Lawonn and Noeska Smit and Lars Linsen and Robert Kosaraen_US
dc.date.accessioned2018-06-02T17:58:00Z
dc.date.available2018-06-02T17:58:00Z
dc.date.issued2018
dc.description.abstractVisualizations of cultural heritage collections play an increasing role in supporting the sensemaking processes of visitors and researchers. While many visualization systems provide overview and exploration options for non-expert audiences or casual users, others support the in-depth analysis of collection experts like curators or art historians. These visualizations often rely on object metadata, which have been generated from historical catalogs or textual sources, each with their own standards of precision, certainty, and data quality. To make these levels of data quality transparent, the visualization of uncertainty poses a vital challenge for interfaces across the board. We introduce the PolyCube system as a visualization framework which provides four different perspectives on the geo-temporal origins of cultural collection data, including coordinated multiple views, animation, color coding, and a space-time cube representation. With specific regard to this multi-perspective framework we develop options to visualize spatio-temporal uncertainty and discuss ways and means of their coherent implementation.en_US
dc.description.sectionheadersSession 1
dc.description.seriesinformationEuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3)
dc.identifier.doi10.2312/eurorv3.20181142
dc.identifier.isbn978-3-03868-066-6
dc.identifier.pages7-11
dc.identifier.urihttps://doi.org/10.2312/eurorv3.20181142
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurorv320181142
dc.publisherThe Eurographics Associationen_US
dc.subject[Human
dc.subjectcentered computing]
dc.subjectVisualization toolkits
dc.subjectVisual analytics
dc.subjectInformation visualization
dc.titleVisualizing Uncertainty in Cultural Heritage Collectionsen_US
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