Ways of Visualizing Curves

Benjamin Bach; Qiuyuan Ren; Charles Perin; Pierre  Dragicevic

doi:10.6084/m9.figshare.6104705

Ways of Visualizing Curves

Benjamin Bach, Qiuyuan Ren, Charles Perin, Pierre Dragicevic

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper reviews the many ways curves are used to encode data in information visualization. As part of our review, we introduce a curve-based visualization framework where data can be encoded in two major ways: i) through a curve’s shape (a process we call embedding) and ii) through a curve’s local visual attributes (a process we call enrichment). Our framework helps describing and organizing the rich design space of curve-based data visualizations, and offer inspiration for novel data visualizations.

Original language	English
Title of host publication	Proceedings of the 5th Biennial Transdisciplinary Imaging Conference 2018
Place of Publication	Edinburgh, UK
Number of pages	14
DOIs	https://doi.org/10.6084/m9.figshare.6104705
Publication status	Published - 20 Apr 2018
Event	The Latent Image: Transimage 2018 - University of Edinburgh, Edinburgh, United Kingdom Duration: 18 Apr 2018 → 20 Apr 2018 https://transimage2018.net

Conference

Conference	The Latent Image
Country/Territory	United Kingdom
City	Edinburgh
Period	18/04/18 → 20/04/18
Internet address	https://transimage2018.net

Keywords / Materials (for Non-textual outputs)

Visualization
trajectories
Time
survey

Access to Document

10.6084/m9.figshare.6104705Licence: Creative Commons: Attribution (CC-BY)

Ways of visualizing data on curvesAccepted author manuscript, 12.1 MBLicence: Creative Commons: Attribution (CC-BY)

https://figshare.com/articles/A_Review_of_the_Usage_and_Design_of_Curves_in_Information_Visualization/6104705

Cite this

@inproceedings{7f71ba3d1d3b413d96a3957bca58c714,

title = "Ways of Visualizing Curves",

abstract = "This paper reviews the many ways curves are used to encode data in information visualization. As part of our review, we introduce a curve-based visualization framework where data can be encoded in two major ways: i) through a curve{\textquoteright}s shape (a process we call embedding) and ii) through a curve{\textquoteright}s local visual attributes (a process we call enrichment). Our framework helps describing and organizing the rich design space of curve-based data visualizations, and offer inspiration for novel data visualizations.",

keywords = "Visualization, trajectories, Time, survey",

author = "Benjamin Bach and Qiuyuan Ren and Charles Perin and Pierre Dragicevic",

year = "2018",

month = apr,

day = "20",

doi = "10.6084/m9.figshare.6104705",

language = "English",

booktitle = "Proceedings of the 5th Biennial Transdisciplinary Imaging Conference 2018",

note = "The Latent Image : Transimage 2018 ; Conference date: 18-04-2018 Through 20-04-2018",

url = "https://transimage2018.net",

}

TY - GEN

T1 - Ways of Visualizing Curves

AU - Bach, Benjamin

AU - Ren, Qiuyuan

AU - Perin, Charles

AU - Dragicevic, Pierre

PY - 2018/4/20

Y1 - 2018/4/20

N2 - This paper reviews the many ways curves are used to encode data in information visualization. As part of our review, we introduce a curve-based visualization framework where data can be encoded in two major ways: i) through a curve’s shape (a process we call embedding) and ii) through a curve’s local visual attributes (a process we call enrichment). Our framework helps describing and organizing the rich design space of curve-based data visualizations, and offer inspiration for novel data visualizations.

AB - This paper reviews the many ways curves are used to encode data in information visualization. As part of our review, we introduce a curve-based visualization framework where data can be encoded in two major ways: i) through a curve’s shape (a process we call embedding) and ii) through a curve’s local visual attributes (a process we call enrichment). Our framework helps describing and organizing the rich design space of curve-based data visualizations, and offer inspiration for novel data visualizations.

KW - Visualization

KW - trajectories

KW - Time

KW - survey

UR - http://www.aviz.fr/~bbach/papers/Bach2018ways.pdf

U2 - 10.6084/m9.figshare.6104705

DO - 10.6084/m9.figshare.6104705

M3 - Conference contribution

BT - Proceedings of the 5th Biennial Transdisciplinary Imaging Conference 2018

CY - Edinburgh, UK

T2 - The Latent Image

Y2 - 18 April 2018 through 20 April 2018

ER -

Ways of Visualizing Curves

Abstract

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

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Cite this