dc.contributor.author	Franke, Max	en_US
dc.contributor.author	Martin, Henry	en_US
dc.contributor.author	Koch, Steffen	en_US
dc.contributor.author	Kurzhals, Kuno	en_US
dc.contributor.editor	Borgo, Rita and Marai, G. Elisabeta and Landesberger, Tatiana von	en_US
dc.date.accessioned	2021-06-12T11:01:53Z
dc.date.available	2021-06-12T11:01:53Z
dc.date.issued	2021
dc.description.abstract	It 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.number	3
dc.description.sectionheaders	Geo-spatial Design and Analysis
dc.description.seriesinformation	Computer Graphics Forum
dc.description.volume	40
dc.identifier.doi	10.1111/cgf.14311
dc.identifier.issn	1467-8659
dc.identifier.pages	335-347
dc.identifier.uri	https://doi.org/10.1111/cgf.14311
dc.identifier.uri	https://diglib.eg.org:443/handle/10.1111/cgf14311
dc.publisher	The Eurographics Association and John Wiley & Sons Ltd.	en_US
dc.subject	Human centered computing
dc.subject	Visual analytics
dc.subject	Geographic visualization
dc.subject	Information visualization
dc.subject	Visualization systems and tools
dc.title	Visual Analysis of Spatio-temporal Phenomena with 1D Projections	en_US

Visual Analysis of Spatio-temporal Phenomena with 1D Projections

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