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Visual Analysis of Oceanic Multivariate Species Time-Series Data

dc.contributor.authorVegu, Shree Rama Kamal Kumar
dc.contributor.copyright-releaseNot Applicableen_US
dc.contributor.degreeMaster of Computer Scienceen_US
dc.contributor.departmentFaculty of Computer Scienceen_US
dc.contributor.ethics-approvalReceiveden_US
dc.contributor.external-examinerN/Aen_US
dc.contributor.graduate-coordinatorDr. Michael McAllisteren_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.thesis-readerDr. Derek Reillyen_US
dc.contributor.thesis-readerDr. Joseph Mallochen_US
dc.contributor.thesis-supervisorDr. Stephen Brooksen_US
dc.date.accessioned2023-07-21T13:50:51Z
dc.date.available2023-07-21T13:50:51Z
dc.date.defence2023-06-26
dc.date.issued2023-07-20
dc.description.abstractThe goal of this project is to provide a data visualization dashboard which allows users to interactively analyze sequential movement patterns and rules of sharks and fishes. This will enhance the ability of oceanic experts to make educated decisions in order to minimize risks for marine ecosystems. The dashboard will present oceanic data from detection stations in Nova Scotia’s Bay of Fundy, which allows researchers to discover patterns in the movements of oceanic species. In order to determine the efficacy of the interactive dashboard, domain experts performed an evaluation using exploratory methods. This evaluation compared the dashboard’s ability to fulfill research questions and goals against the existing tools, and determined if this application would be more beneficial for existing practitioners, based on the feedback received and insights gained.en_US
dc.identifier.urihttp://hdl.handle.net/10222/82719
dc.language.isoenen_US
dc.subjectVisual Analyticsen_US
dc.subjectData Miningen_US
dc.subjectSequential Pattern Miningen_US
dc.subjectSequential Rule Miningen_US
dc.subjectTime-Series Data Visualizationen_US
dc.subjectVertical Mining of Maximal Sequential Patternsen_US
dc.subjectData Visualizationen_US
dc.subjectGeo-Spatial Time-Varying Dataen_US
dc.titleVisual Analysis of Oceanic Multivariate Species Time-Series Dataen_US
dc.typeThesisen_US

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