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.identifier.isbn	978-3-03868-150-2
dc.identifier.uri	https://doi.org/10.2312/eurova.20211099
dc.identifier.uri	https://diglib.eg.org:443/handle/10.2312/eurova20211099
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.publisher	The Eurographics Association	en_US
dc.title	Multi-resolution Analysis for Vector Plots of Time Series Data	en_US
dc.description.seriesinformation	EuroVis Workshop on Visual Analytics (EuroVA)
dc.description.sectionheaders	Temporal Data and Clustering
dc.identifier.doi	10.2312/eurova.20211099
dc.identifier.pages	55-59