Visualization of Multi-Variate Scientific Data

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dc.contributor.authorFuchs, R.en_US
dc.contributor.authorHauser, H.en_US
dc.date.accessioned2015-02-23T09:12:07Z
dc.date.available2015-02-23T09:12:07Z
dc.date.issued2009en_US
dc.description.abstractIn this state-of-the-art report we discuss relevant research works related to the visualization of complex, multi-variate data. We discuss how different techniques take effect at specific stages of the visualization pipeline and how they apply to multi-variate data sets being composed of scalars, vectors and tensors. We also provide a categorization of these techniques with the aim for a better overview of related approaches. Based on this classification we highlight combinable and hybrid approaches and focus on techniques that potentially lead towards new directions in visualization research. In the second part of this paper we take a look at recent techniques that are useful for the visualization of complex data sets either because they are general purpose or because they can be adapted to specific problems.en_US
dc.description.documenttypestar
dc.description.number6en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume28en_US
dc.identifier.doi10.1111/j.1467-8659.2009.01429.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages1670-1690en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2009.01429.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleVisualization of Multi-Variate Scientific Dataen_US
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