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dc.contributor.authorBanesh, Divyaen_US
dc.contributor.authorWendelberger, Joanneen_US
dc.contributor.authorPetersen, Marken_US
dc.contributor.authorAhrens, Jamesen_US
dc.contributor.authorHamann, Bernden_US
dc.contributor.editorKarsten Rink and Dirk Zeckzer and Roxana Bujack and Stefan Jänickeen_US
dc.date.accessioned2018-06-02T18:01:51Z
dc.date.available2018-06-02T18:01:51Z
dc.date.issued2018
dc.identifier.isbn978-3-03868-063-5
dc.identifier.urihttp://dx.doi.org/10.2312/envirvis.20181134
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/envirvis20181134
dc.description.abstractThe detection and analysis of mesoscale ocean eddies is a complex task, made more difficult when simulated or observational ocean data are massive. We present the statistical approach of change point detection as a means to help scientists efficiently extract relevant scientific information. We demonstrate the value of change point detection for the characterization of eddy behavior in simulated ocean data. Our results show that change point detection helps with the identification of significant parameter values used in an algorithm or determination of time points that correspond to eddy activity of interest.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectMathematics of computing
dc.subjectTime series analysis
dc.subjectExploratory data analysis
dc.subjectRegression analysis
dc.subjectComputing methodologies
dc.subjectObject detection
dc.subjectImage processing
dc.titleChange Point Detection for Ocean Eddy Analysisen_US
dc.description.seriesinformationWorkshop on Visualisation in Environmental Sciences (EnvirVis)
dc.description.sectionheadersHydrosphere
dc.identifier.doi10.2312/envirvis.20181134
dc.identifier.pages27-33


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