Academic Journal
Multi-attribute interactive visualization of three-dimensional trajectory sets.
| Title: | Multi-attribute interactive visualization of three-dimensional trajectory sets. |
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| Authors: | Jing He, Haonan Chen |
| Source: | Kuwait Journal of Science; 2021, Vol. 48 Issue 4, p1-18, 18p |
| Subject Terms: | Three-dimensional imaging, Space environment, Space trajectories, Visualization |
| Abstract: | Rapidly advancing location-awareness technologies and services have collected and stored massive amounts of moving object trajectory data with attribute information that involves various degrees of spatial scales, timescales, and levels of complexity. Unfortunately, interesting behaviors regarding combinations of attributes are scarcely extracted from datasets. Further, trajectories are typically dependent on the environment of three-dimensional space, and another issue of interest to us is to preserve spatial-location visualization while guaranteeing the description of temporal information. Therefore, we developed a novel analytics tool that combines visual and interactive components to enable a dynamic visualization of three-dimensional trajectory multi-attribute behaviors. Under the context of spatio temporal analysis, this approach integrates multiple attributes into one view to efficiently explore the attribute visualization problem of multi-attribute combination without over-plotting. To assess the feasibility of our solution, we visualized and analyzed multi-attribute information of moving object trajectories using a real mining truck dataset as a case study. [ABSTRACT FROM AUTHOR] |
| Copyright of Kuwait Journal of Science is the property of Kuwait University, Academic Publication Council 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: | Complementary Index |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://www.doi.org/10.48129/kjs.v48i4.10548? Name: ScienceDirect (all content) (s7799221) Category: fullText Text: View record from ScienceDirect MouseOverText: View record from ScienceDirect |
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| Items | – Name: Title Label: Title Group: Ti Data: Multi-attribute interactive visualization of three-dimensional trajectory sets. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jing+He%22">Jing He</searchLink><br /><searchLink fieldCode="AR" term="%22Haonan+Chen%22">Haonan Chen</searchLink> – Name: TitleSource Label: Source Group: Src Data: Kuwait Journal of Science; 2021, Vol. 48 Issue 4, p1-18, 18p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Three-dimensional+imaging%22">Three-dimensional imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Space+environment%22">Space environment</searchLink><br /><searchLink fieldCode="DE" term="%22Space+trajectories%22">Space trajectories</searchLink><br /><searchLink fieldCode="DE" term="%22Visualization%22">Visualization</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Rapidly advancing location-awareness technologies and services have collected and stored massive amounts of moving object trajectory data with attribute information that involves various degrees of spatial scales, timescales, and levels of complexity. Unfortunately, interesting behaviors regarding combinations of attributes are scarcely extracted from datasets. Further, trajectories are typically dependent on the environment of three-dimensional space, and another issue of interest to us is to preserve spatial-location visualization while guaranteeing the description of temporal information. Therefore, we developed a novel analytics tool that combines visual and interactive components to enable a dynamic visualization of three-dimensional trajectory multi-attribute behaviors. Under the context of spatio temporal analysis, this approach integrates multiple attributes into one view to efficiently explore the attribute visualization problem of multi-attribute combination without over-plotting. To assess the feasibility of our solution, we visualized and analyzed multi-attribute information of moving object trajectories using a real mining truck dataset as a case study. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Kuwait Journal of Science is the property of Kuwait University, Academic Publication Council 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: 10.48129/kjs.v48i4.10548 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 1 Subjects: – SubjectFull: Three-dimensional imaging Type: general – SubjectFull: Space environment Type: general – SubjectFull: Space trajectories Type: general – SubjectFull: Visualization Type: general Titles: – TitleFull: Multi-attribute interactive visualization of three-dimensional trajectory sets. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jing He – PersonEntity: Name: NameFull: Haonan Chen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 23074108 Numbering: – Type: volume Value: 48 – Type: issue Value: 4 Titles: – TitleFull: Kuwait Journal of Science Type: main |
| ResultId | 1 |