Design Space of Origin-Destination Data Visualization

dc.contributor.authorTennekes, Martijnen_US
dc.contributor.authorChen, Minen_US
dc.contributor.editorBorgo, Rita and Marai, G. Elisabeta and Landesberger, Tatiana vonen_US
dc.date.accessioned2021-06-12T11:01:52Z
dc.date.available2021-06-12T11:01:52Z
dc.date.issued2021
dc.description.abstractVisualization is an essential tool for observing and analyzing origin-destination (OD) data, which encodes flows between geographic locations, e.g., in applications concerning commuting, migration, and transport of goods. However, depicting OD data often encounter issues of cluttering and occlusion. To address these issues, many visual designs feature data abstraction and visual abstraction, such as node aggregation and edge bundling, resulting in information loss. The recent theoretical and empirical developments in visualization have substantiated the merits of such abstraction, while confirming that viewers' knowledge can alleviate the negative impact due to information loss. It is thus desirable to map out different ways of losing and adding information in origin-destination data visualization (ODDV).We therefore formulate a new design space of ODDV based on the categorization of informative operations on OD data in data abstraction and visual abstraction. We apply this design space to existing ODDV methods, outline strategies for exploring the design space, and suggest ideas for further exploration.en_US
dc.description.number3
dc.description.sectionheadersGeo-spatial Design and Analysis
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume40
dc.identifier.doi10.1111/cgf.14310
dc.identifier.issn1467-8659
dc.identifier.pages323-334
dc.identifier.urihttps://doi.org/10.1111/cgf.14310
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14310
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.titleDesign Space of Origin-Destination Data Visualizationen_US
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