TopoLines: Topological Smoothing for Line Charts

dc.contributor.authorRosen, Paulen_US
dc.contributor.authorSuh, Ashleyen_US
dc.contributor.authorSalgado, Christopheren_US
dc.contributor.authorHajij, Mustafaen_US
dc.contributor.editorKerren, Andreas and Garth, Christoph and Marai, G. Elisabetaen_US
dc.date.accessioned2020-05-24T13:52:01Z
dc.date.available2020-05-24T13:52:01Z
dc.date.issued2020
dc.description.abstractLine charts are commonly used to visualize a series of data values. When the data are noisy, smoothing is applied to make the signal more apparent. Conventional methods used to smooth line charts, e.g., using subsampling or filters, such as median, Gaussian, or low-pass, each optimize for different properties of the data. The properties generally do not include retaining peaks (i.e., local minima and maxima) in the data, which is an important feature for certain visual analytics tasks. We present TopoLines, a method for smoothing line charts using techniques from Topological Data Analysis. The design goal of TopoLines is to maintain prominent peaks in the data while minimizing any residual error. We evaluate TopoLines for 2 visual analytics tasks by comparing to 5 popular line smoothing methods with data from 4 application domains.en_US
dc.description.sectionheadersMix: Color, Design, etc.
dc.description.seriesinformationEuroVis 2020 - Short Papers
dc.identifier.doi10.2312/evs.20201053
dc.identifier.isbn978-3-03868-106-9
dc.identifier.pages85-89
dc.identifier.urihttps://doi.org/10.2312/evs.20201053
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evs20201053
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.subjectHuman centered computing
dc.subjectInformation visualization
dc.subjectVisualization design and evaluation methods
dc.titleTopoLines: Topological Smoothing for Line Chartsen_US
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