An Art-based Approach to Visual Analytics

Simple item page
dc.contributor.authorSehgal, Gunjanen_US
dc.contributor.authorSharma, Geetikaen_US
dc.contributor.editorNatalia Andrienko and Michael Sedlmairen_US
dc.date.accessioned2016-06-09T09:32:09Z
dc.date.available2016-06-09T09:32:09Z
dc.date.issued2016en_US
dc.description.abstractIn this paper, we propose an art-based approach to visual analytics.We argue that while artistic data visualizations have mainly been designed to communicate the artist's message, certain artistic styles can be very effective in exploratory data analysis as well and data visualizations can benefit from more than just the aesthetics inspired by art. We use the ancient Warli style of tribal paintings, found in western India to demonstrate the use of artistic styles for visual analytics over open data provided by the Indian government.en_US
dc.description.sectionheadersMultivariate Data Analysisen_US
dc.description.seriesinformationEuroVis Workshop on Visual Analytics (EuroVA)en_US
dc.identifier.doi10.2312/eurova.20161120en_US
dc.identifier.isbn978-3-03868-016-1en_US
dc.identifier.issn-en_US
dc.identifier.pages25-29en_US
dc.identifier.urihttps://doi.org/10.2312/eurova.20161120en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectLine and curve generationen_US
dc.titleAn Art-based Approach to Visual Analyticsen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
025-029.pdf
Size:
1.01 MB
Format:
Adobe Portable Document Format
Download
Collections
EuroVA16