Visual Analysis of Spatio-temporal Phenomena with 1D Projections

dc.contributor.authorFranke, Maxen_US
dc.contributor.authorMartin, Henryen_US
dc.contributor.authorKoch, Steffenen_US
dc.contributor.authorKurzhals, Kunoen_US
dc.contributor.editorBorgo, Rita and Marai, G. Elisabeta and Landesberger, Tatiana vonen_US
dc.date.accessioned2021-06-12T11:01:53Z
dc.date.available2021-06-12T11:01:53Z
dc.date.issued2021
dc.description.abstractIt is crucial to visually extrapolate the characteristics of their evolution to understand critical spatio-temporal events such as earthquakes, fires, or the spreading of a disease. Animations embedded in the spatial context can be helpful for understanding details, but have proven to be less effective for overview and comparison tasks. We present an interactive approach for the exploration of spatio-temporal data, based on a set of neighborhood-preserving 1D projections which help identify patterns and support the comparison of numerous time steps and multivariate data. An important objective of the proposed approach is the visual description of local neighborhoods in the 1D projection to reveal patterns of similarity and propagation. As this locality cannot generally be guaranteed, we provide a selection of different projection techniques, as well as a hierarchical approach, to support the analysis of different data characteristics. In addition, we offer an interactive exploration technique to reorganize and improve the mapping locally to users' foci of interest. We demonstrate the usefulness of our approach with different real-world application scenarios and discuss the feedback we received from domain and visualization experts.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.14311
dc.identifier.issn1467-8659
dc.identifier.pages335-347
dc.identifier.urihttps://doi.org/10.1111/cgf.14311
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14311
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectHuman centered computing
dc.subjectVisual analytics
dc.subjectGeographic visualization
dc.subjectInformation visualization
dc.subjectVisualization systems and tools
dc.titleVisual Analysis of Spatio-temporal Phenomena with 1D Projectionsen_US
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