Rapid Prototyping for Coordinated Views of Multi-scale Spatial and Abstract Data: A Grammar-based Approach

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dc.contributor.authorHarth, Philippen_US
dc.contributor.authorBast, Arcoen_US
dc.contributor.authorTroidl, Jakoben_US
dc.contributor.authorMeulemeester, Bjorgeen_US
dc.contributor.authorPfister, Hanspeteren_US
dc.contributor.authorBeyer, Johannaen_US
dc.contributor.authorOberlaender, Marcelen_US
dc.contributor.authorHege, Hans-Christianen_US
dc.contributor.authorBaum, Danielen_US
dc.contributor.editorHansen, Christianen_US
dc.contributor.editorProcter, Jamesen_US
dc.contributor.editorRenata G. Raidouen_US
dc.contributor.editorJönsson, Danielen_US
dc.contributor.editorHöllt, Thomasen_US
dc.date.accessioned2023-09-19T11:31:54Z
dc.date.available2023-09-19T11:31:54Z
dc.date.issued2023
dc.description.abstractVisualization grammars are gaining popularity as they allow visualization specialists and experienced users to quickly create static and interactive views. Existing grammars, however, mostly focus on abstract views, ignoring three-dimensional (3D) views, which are very important in fields such as natural sciences. We propose a generalized interaction grammar for the problem of coordinating heterogeneous view types, such as standard charts (e.g., based on Vega-Lite) and 3D anatomical views. An important aspect of our web-based framework is that user interactions with data items at various levels of detail can be systematically integrated and used to control the overall layout of the application workspace. With the help of a concise JSON-based specification of the intended workflow, we can handle complex interactive visual analysis scenarios. This enables rapid prototyping and iterative refinement of the visual analysis tool in collaboration with domain experts. We illustrate the usefulness of our framework in two real-world case studies from the field of neuroscience. Since the logic of the presented grammar-based approach for handling interactions between heterogeneous web-based views is free of any application specifics, it can also serve as a template for applications beyond biological research.en_US
dc.description.sectionheadersNeuroanatomy and Omics
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20231218
dc.identifier.isbn978-3-03868-216-5
dc.identifier.issn2070-5786
dc.identifier.pages99-109
dc.identifier.pages11 pages
dc.identifier.urihttps://doi.org/10.2312/vcbm.20231218
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20231218
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing -> Visual analytics; Software and its engineering -> Specification languages; Applied computing -> Biological networks
dc.subjectHuman centered computing
dc.subjectVisual analytics
dc.subjectSoftware and its engineering
dc.subjectSpecification languages
dc.subjectApplied computing
dc.subjectBiological networks
dc.titleRapid Prototyping for Coordinated Views of Multi-scale Spatial and Abstract Data: A Grammar-based Approachen_US
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VCBM 2023: Eurographics Workshop on Visual Computing for Biology and Medicine