Immersive Analytics with Abstract 3D Visualizations : a Survey

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KRAUS, Matthias, Johannes FUCHS, Björn SOMMER, Karsten KLEIN, Ulrich ENGELKE, Daniel KEIM, Falk SCHREIBER, 2022. Immersive Analytics with Abstract 3D Visualizations : a Survey. In: Computer Graphics Forum. Wiley-Blackwell. 41(1), pp. 201-229. ISSN 0167-7055. eISSN 1467-8659. Available under: doi: 10.1111/cgf.14430

@article{Kraus2022-02Immer-55895, title={Immersive Analytics with Abstract 3D Visualizations : a Survey}, year={2022}, doi={10.1111/cgf.14430}, number={1}, volume={41}, issn={0167-7055}, journal={Computer Graphics Forum}, pages={201--229}, author={Kraus, Matthias and Fuchs, Johannes and Sommer, Björn and Klein, Karsten and Engelke, Ulrich and Keim, Daniel and Schreiber, Falk} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dc:creator>Kraus, Matthias</dc:creator> <dc:contributor>Schreiber, Falk</dc:contributor> <dspace:isPartOfCollection rdf:resource=""/> <dc:creator>Engelke, Ulrich</dc:creator> <dc:contributor>Keim, Daniel</dc:contributor> <dc:contributor>Klein, Karsten</dc:contributor> <dc:rights>Attribution 4.0 International</dc:rights> <dcterms:isPartOf rdf:resource=""/> <dcterms:title>Immersive Analytics with Abstract 3D Visualizations : a Survey</dcterms:title> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dcterms:hasPart rdf:resource=""/> <dc:creator>Keim, Daniel</dc:creator> <dc:contributor>Sommer, Björn</dc:contributor> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dspace:hasBitstream rdf:resource=""/> <dcterms:issued>2022-02</dcterms:issued> <dcterms:available rdf:datatype="">2021-12-15T09:24:38Z</dcterms:available> <dc:creator>Klein, Karsten</dc:creator> <bibo:uri rdf:resource=""/> <dc:contributor>Engelke, Ulrich</dc:contributor> <dcterms:rights rdf:resource=""/> <dc:language>eng</dc:language> <dc:creator>Fuchs, Johannes</dc:creator> <dc:contributor>Fuchs, Johannes</dc:contributor> <dc:contributor>Kraus, Matthias</dc:contributor> <dcterms:abstract xml:lang="eng">After a long period of scepticism, more and more publications describe basic research but also practical approaches to howabstract data can be presented in immersive environments for effective and efficient data understanding. Central aspects of thisimportant research question in immersive analytics research are concerned with the use of 3D for visualization, the embeddingin the immersive space, the combination with spatial data, suitable interaction paradigms and the evaluation of use cases.We provide a characterization that facilitates the comparison and categorization of published works and present a survey ofpublications that gives an overview of the state of the art, current trends, and gaps and challenges in current research.</dcterms:abstract> <dc:creator>Sommer, Björn</dc:creator> <dc:date rdf:datatype="">2021-12-15T09:24:38Z</dc:date> <dc:creator>Schreiber, Falk</dc:creator> </rdf:Description> </rdf:RDF>

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