A Taxonomy of Integration Techniques for Spatial and Non-Spatial Visualizations

dc.contributor.authorSorger, Johannesen_US
dc.contributor.authorOrtner, Thomasen_US
dc.contributor.authorPiringer, Haralden_US
dc.contributor.authorHesina, Gerden_US
dc.contributor.authorGröller, Eduarden_US
dc.contributor.editorDavid Bommes and Tobias Ritschel and Thomas Schultzen_US
dc.date.accessioned2015-10-07T05:13:33Z
dc.date.available2015-10-07T05:13:33Z
dc.date.issued2015en_US
dc.description.abstractResearch on visual data representations is traditionally classified into methods assuming an inherent mapping from data values to spatial coordinates (scientific visualization and real-time rendering) and methods for abstract data lacking explicit spatial references (information visualization). In practice, however, many applications need to analyze data comprising abstract and spatial information, thereby spanning both visualization domains. Traditional classification schemes do not support a formal description of these integrated systems. The contribution of this paper is a taxonomy that describes a holistic design space for integrating components of spatial and abstract visualizations. We structure a visualization into three components: Data, Visual, and Navigation. These components can be linked to build integrated visualizations. Our taxonomy provides an alternative view on the field of visualization in a time where the border between scientific and information visualization becomes blurred.en_US
dc.description.sectionheadersVisualizationen_US
dc.description.seriesinformationVision, Modeling & Visualizationen_US
dc.identifier.doi10.2312/vmv.20151258en_US
dc.identifier.isbn978-3-905674-95-8en_US
dc.identifier.pages57-64en_US
dc.identifier.urihttps://doi.org/10.2312/vmv.20151258en_US
dc.publisherThe Eurographics Associationen_US
dc.titleA Taxonomy of Integration Techniques for Spatial and Non-Spatial Visualizationsen_US
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