Visual Analysis of Hurricane Data Using Joint Contour Net

dc.contributor.authorGeng, Zhaoen_US
dc.contributor.authorDuke, Daviden_US
dc.contributor.authorCarr, Hamishen_US
dc.contributor.authorChattopadhyay, Amiten_US
dc.contributor.editorRita Borgo and Wen Tangen_US
dc.date.accessioned2014-12-15T15:53:07Z
dc.date.available2014-12-15T15:53:07Z
dc.date.issued2014en_US
dc.description.abstractTopology provides a rigorous foundation for identifying features and transitions within data. However, computing and presenting topological features in multi-dimensional range space is still a difficult problem. The Joint Contour Net therefore is proposed as a data structure which quantizes the variation of multiple variables and presents multiple-field topology. In this paper, we apply the Joint Contour Net to real-world applications in order to present, analyse and explore features related to phenomenon. We have proposed a framework based on Joint Contour Net for iterative data exploration and knowledge discovery. The data set we investigate is from a simulation of Isabel Hurricane. We are able to demonstrate that the multi-field topological features such as rainbands, air flow and hurricane eye, as well as their relationship, can be exploited from a global topological view.en_US
dc.description.seriesinformationComputer Graphics and Visual Computing (CGVC)en_US
dc.identifier.isbn978-3-905674-70-5en_US
dc.identifier.urihttps://doi.org/10.2312/cgvc.20141205en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectJoint Contour Net [Application]en_US
dc.subjectHurricane Dataen_US
dc.titleVisual Analysis of Hurricane Data Using Joint Contour Neten_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
033-040.pdf
Size:
3.01 MB
Format:
Adobe Portable Document Format