poster

A Layout Technique for Storyline-based Visualization of Consecutive Numerical Time-varying Data

Authors:

Sayaka Yagi,

Takayuki Itoh,

Masahiro TakatsukaAuthors Info & Claims

VINCI '15: Proceedings of the 8th International Symposium on Visual Information Communication and Interaction

Pages 156 - 157

https://doi.org/10.1145/2801040.2801067

Published: 24 August 2015 Publication History

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Abstract

We commonly represent time-varying values as polyline charts or heatmaps; however, both type of techniques are difficult to simultaneously observe short-term features of time-varying values and cluster transitions. This poster proposes storyline-based visualization technique for consecutive numerical time-varying data. Storyline is a visualization technique to show associative feature among elements over time. Our technique measures similarity of each elements and draw similar elements as proximity storyline. The technique also reflects differential values on storyline as a visual variable to emphasize the amount of line changes.

References

[1]

R. Munroe. Movie narrative charts. http://xkcd.com/657/, accessed 4 June, 2015.

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[2]

Y. Tanahashi and K.-L. Ma. Design considerations for optimizing storyline visualizations. Visualization and Computer Graphics, IEEE Transactions on, 18(12):2679--2688, 2012.

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[3]

S. Yagi, Y. Uchida, and T. Itoh. A polyline-based visualization technique for tagged time-varying data. In Information Visualisation (IV), 2012 16th International Conference on, pages 106--111. IEEE, 2012.

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Deng ZChen SSchreck TDeng DTang TXu MWeng DWu Y(2024)Visualizing Large-Scale Spatial Time Series with GeoChronIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332716230:1(1194-1204)Online publication date: 1-Jan-2024
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Hulstein GPena-Araya VBezerianos A(2022)Geo-Storylines: Integrating Maps Into Storyline VisualizationsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.3209480(1-11)Online publication date: 2022
https://doi.org/10.1109/TVCG.2022.3209480
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A Layout Technique for Storyline-based Visualization of Consecutive Numerical Time-varying Data

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Published In

VINCI '15: Proceedings of the 8th International Symposium on Visual Information Communication and Interaction

August 2015

185 pages

ISBN:9781450334822

DOI:10.1145/2801040

General Chair:
Takayuki Itoh,
Program Chairs:
Paolo Bottoni,
Shigeo Takahashi

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 24 August 2015

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VINCI '15

VINCI '15: The 8th International Symposium on Visual Information Communication and Interaction

August 24 - 26, 2015

AA, Tokyo, Japan

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VINCI '15 Paper Acceptance Rate 12 of 32 submissions, 38%;

Overall Acceptance Rate 71 of 193 submissions, 37%

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Kuo YLiu DMa K(2024)SpreadLine: Visualizing Egocentric Dynamic InfluenceIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345637331:1(1050-1060)Online publication date: 13-Sep-2024
https://dl.acm.org/doi/10.1109/TVCG.2024.3456373
Deng ZChen SSchreck TDeng DTang TXu MWeng DWu Y(2024)Visualizing Large-Scale Spatial Time Series with GeoChronIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332716230:1(1194-1204)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3327162
Hulstein GPena-Araya VBezerianos A(2022)Geo-Storylines: Integrating Maps Into Storyline VisualizationsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.3209480(1-11)Online publication date: 2022
https://doi.org/10.1109/TVCG.2022.3209480
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https://doi.org/10.1109/TVCG.2020.3030437

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