A comprehensive review of interactive visualization for MetOcean domain.
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| Title: | A comprehensive review of interactive visualization for MetOcean domain. |
|---|---|
| Authors: | Ismail, Azlan1,2 (AUTHOR) azlanismail@uitm.edu.my, Jawaddi, Siti Nuraishah Agos1 (AUTHOR) aishahagos96@gmail.com, Sazali, Faris Haziq1 (AUTHOR) farishaziqsazalii@gmail.com, Zain, Jasni Mohamad1,2 (AUTHOR) jasni67@uitm.edu.my, Jaafar, Jafreezal3 (AUTHOR) jafreez@utp.edu.my, Hasan, Mohd Hilmi3 (AUTHOR) mhilmi_hasan@utp.edu.my, Aziz, Izzatdin Abdul3 (AUTHOR) izzatdin@utp.edu.my, Haron, Nazleeni Samiha3 (AUTHOR) nazleeni@utp.edu.my |
| Source: | Journal of Visualization. Oct2025, Vol. 28 Issue 5, p937-962. 26p. |
| Abstract: | Although several prior reviews have addressed scientific visualization more broadly, none have specifically focused on interactive visualization within the MetOcean domain. As a result, many task- and system-level aspects relevant to MetOcean applications remain underexamined. This paper presents a taxonomy-guided review of interactive visualization approaches tailored for MetOcean data systems. We introduce a six-component taxonomy that integrates data characteristics, visualization objectives, user interaction, technological integration, visualization techniques, and design principles. Using this taxonomy, we conduct a dual analysis: a structured review of prior academic literature and a detailed mapping of nine validated MetOcean systems. The findings reveal consistent strengths in data representation and user interaction, but also highlight critical gaps in predictive analytics, real-time backend integration, user-centered design principles, and operational alignment with disaster response and recovery phases. The taxonomy enables a consistent and comparative synthesis across systems and helps surface underrepresented components, such as feature-based visualization, proactivity, transparency, and granularity. We conclude by outlining five open challenges and opportunities that offer a research roadmap for building next-generation, robust, and decision-aware MetOcean visualization platforms. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Visualization is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 188317773 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A comprehensive review of interactive visualization for MetOcean domain. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ismail%2C+Azlan%22">Ismail, Azlan</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> azlanismail@uitm.edu.my</i><br /><searchLink fieldCode="AR" term="%22Jawaddi%2C+Siti+Nuraishah+Agos%22">Jawaddi, Siti Nuraishah Agos</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> aishahagos96@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Sazali%2C+Faris+Haziq%22">Sazali, Faris Haziq</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> farishaziqsazalii@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Zain%2C+Jasni+Mohamad%22">Zain, Jasni Mohamad</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> jasni67@uitm.edu.my</i><br /><searchLink fieldCode="AR" term="%22Jaafar%2C+Jafreezal%22">Jaafar, Jafreezal</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> jafreez@utp.edu.my</i><br /><searchLink fieldCode="AR" term="%22Hasan%2C+Mohd+Hilmi%22">Hasan, Mohd Hilmi</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> mhilmi_hasan@utp.edu.my</i><br /><searchLink fieldCode="AR" term="%22Aziz%2C+Izzatdin+Abdul%22">Aziz, Izzatdin Abdul</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> izzatdin@utp.edu.my</i><br /><searchLink fieldCode="AR" term="%22Haron%2C+Nazleeni+Samiha%22">Haron, Nazleeni Samiha</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> nazleeni@utp.edu.my</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Visualization%22">Journal of Visualization</searchLink>. Oct2025, Vol. 28 Issue 5, p937-962. 26p. – Name: Abstract Label: Abstract Group: Ab Data: Although several prior reviews have addressed scientific visualization more broadly, none have specifically focused on interactive visualization within the MetOcean domain. As a result, many task- and system-level aspects relevant to MetOcean applications remain underexamined. This paper presents a taxonomy-guided review of interactive visualization approaches tailored for MetOcean data systems. We introduce a six-component taxonomy that integrates data characteristics, visualization objectives, user interaction, technological integration, visualization techniques, and design principles. Using this taxonomy, we conduct a dual analysis: a structured review of prior academic literature and a detailed mapping of nine validated MetOcean systems. The findings reveal consistent strengths in data representation and user interaction, but also highlight critical gaps in predictive analytics, real-time backend integration, user-centered design principles, and operational alignment with disaster response and recovery phases. The taxonomy enables a consistent and comparative synthesis across systems and helps surface underrepresented components, such as feature-based visualization, proactivity, transparency, and granularity. We conclude by outlining five open challenges and opportunities that offer a research roadmap for building next-generation, robust, and decision-aware MetOcean visualization platforms. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Visualization is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s12650-025-01077-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 937 Titles: – TitleFull: A comprehensive review of interactive visualization for MetOcean domain. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ismail, Azlan – PersonEntity: Name: NameFull: Jawaddi, Siti Nuraishah Agos – PersonEntity: Name: NameFull: Sazali, Faris Haziq – PersonEntity: Name: NameFull: Zain, Jasni Mohamad – PersonEntity: Name: NameFull: Jaafar, Jafreezal – PersonEntity: Name: NameFull: Hasan, Mohd Hilmi – PersonEntity: Name: NameFull: Aziz, Izzatdin Abdul – PersonEntity: Name: NameFull: Haron, Nazleeni Samiha IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13438875 Numbering: – Type: volume Value: 28 – Type: issue Value: 5 Titles: – TitleFull: Journal of Visualization Type: main |
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