RedSeaAtlas: A Visual Analytics Tool for Spatio-temporal Multivariate Data of the Red Sea

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dc.contributor.authorAfzal, Shehzaden_US
dc.contributor.authorGhani, Sohaiben_US
dc.contributor.authorTissington, Garthen_US
dc.contributor.authorLangodan, Sabiqueen_US
dc.contributor.authorDasari, Hari Prasaden_US
dc.contributor.authorRaitsos, Dionysiosen_US
dc.contributor.authorGittings, Johnen_US
dc.contributor.authorJamil, Tahiraen_US
dc.contributor.authorSrinivasan, Madhusudhananen_US
dc.contributor.authorHoteit, Ibrahimen_US
dc.contributor.editorBujack, Roxana and Feige, Kathrin and Rink, Karsten and Zeckzer, Dirken_US
dc.date.accessioned2019-06-02T18:12:48Z
dc.date.available2019-06-02T18:12:48Z
dc.date.issued2019
dc.description.abstractInteractive visualizations play an essential role in supporting the analysis tasks of ocean and atmospheric scientists working on a variety of simulation models and observational datasets. Designing visual analytics systems intended for addressing problems in the ocean and atmospheric domain require careful task analysis of the requirements of domain experts and scientists, and understanding their analysis workflows. This paper explores the design of a visual analytics tool (RedSeaAtlas) based on meetings and interviews with domain experts working on diverse research problems that involve analyzing spatio-temporal multivariate datasets of the Red Sea region, to understand their task requirements. This kind of visual analytics tool has widespread applications in areas, such as navigational guidance of marine vessels, fisheries operations, environmental impact assessments, coastal development, renewable energy, risk management, policy making, etc. We provide expert evaluation of this tool based on different case studies targeting some of these application areas. We also discuss the challenges associated with the use of varying visualization tools in the ocean and atmospheric community, focusing on aspects related to visualization research.en_US
dc.description.sectionheadersLakes and Oceans
dc.description.seriesinformationWorkshop on Visualisation in Environmental Sciences (EnvirVis)
dc.identifier.doi10.2312/envirvis.20191101
dc.identifier.isbn978-3-03868-086-4
dc.identifier.pages25-32
dc.identifier.urihttps://doi.org/10.2312/envirvis.20191101
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/envirvis20191101
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman Centered Computing
dc.subjectVisualization
dc.subjectVisual Analytics
dc.subjectPhysical Sciences and Engineering
dc.subjectEarth and atmospheric sciences
dc.subjectInformation systems applications
dc.subjectSpatial
dc.subjecttemporal systems
dc.titleRedSeaAtlas: A Visual Analytics Tool for Spatio-temporal Multivariate Data of the Red Seaen_US
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