Collaborative Computational Projects - Visualisation Applications Survey

dc.contributor.authorTurner, Martin J.en_US
dc.contributor.authorFowler, Ronen_US
dc.contributor.authorMorris, Timen_US
dc.contributor.editorCagatay Turkay and Tao Ruan Wanen_US
dc.date.accessioned2016-09-15T09:05:51Z
dc.date.available2016-09-15T09:05:51Z
dc.date.issued2016
dc.description.abstractThis extended abstract presents initial outcomes from three visualisation user needs surveys, and includes an invitation for new communities to engage with follow-on surveys. Statistical and text cluster analysis have been used to assist specific computational groups; in order to select certain visualisation application packages for software development and to select which new algorithms to implement. This analysis is now also available for advising and creating recommendations to build a long term visualisation support service. The focus of these surveys and this work has been on looking at the use of software toolkits and application packages rather then surveying specific visualisation algorithm techniques.en_US
dc.description.sectionheadersVisualisation Techniques
dc.description.seriesinformationComputer Graphics and Visual Computing (CGVC)
dc.identifier.doi10.2312/cgvc.20161292
dc.identifier.isbn978-3-03868-022-2
dc.identifier.issn-
dc.identifier.pages29-31
dc.identifier.urihttps://doi.org/10.2312/cgvc.20161292
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/cgvc20161292
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.4 [Computer Graphics]
dc.subjectGraphics Utilities
dc.subjectApplication packages
dc.subjectI.3.8 [Computer Graphics]
dc.subjectApplications
dc.titleCollaborative Computational Projects - Visualisation Applications Surveyen_US
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