Multi-resolution Analysis for Vector Plots of Time Series Data
dc.contributor.author | Nguyen, Bao | en_US |
dc.contributor.author | Hewett, Rattikorn | en_US |
dc.contributor.author | Dang, Tommy | en_US |
dc.contributor.editor | Vrotsou, Katerina and Bernard, Jürgen | en_US |
dc.date.accessioned | 2021-06-12T11:22:15Z | |
dc.date.available | 2021-06-12T11:22:15Z | |
dc.date.issued | 2021 | |
dc.description.abstract | Vector plots can directly visualize both temporal variation and spatial distribution, so it is interesting to use this type of plot for displaying multivariate time series. However, vector plots cannot reveal global temporal information. This paper introduces an interactive visualization that allows comparisons between different resolutions for easing this limit. The proposed approach is applied to two real data to demonstrate its benefits and potential. | en_US |
dc.description.sectionheaders | Temporal Data and Clustering | |
dc.description.seriesinformation | EuroVis Workshop on Visual Analytics (EuroVA) | |
dc.identifier.doi | 10.2312/eurova.20211099 | |
dc.identifier.isbn | 978-3-03868-150-2 | |
dc.identifier.pages | 55-59 | |
dc.identifier.uri | https://doi.org/10.2312/eurova.20211099 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/eurova20211099 | |
dc.publisher | The Eurographics Association | en_US |
dc.title | Multi-resolution Analysis for Vector Plots of Time Series Data | en_US |
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