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Coaxial interactive viewer: a multi-dimensional data visualization with spatial distortional views

Published: 04 August 2011 Publication History

Abstract

We present a navigatable multi-dimensional visualization of data named coaxial interactive visualization which is based on the coaxial axes. In this visualization, the dimensions of data in n-dimensional space are mapped to n concentric circular axes drawn in a planar space with polar coordinates. A data item in n-dimensional space is represented as a poly-curve with n vertices across all circular axes. Via the spatial distortion in polar system, the view of multi-dimensional data is interactively adjusted to satisfy viewer's interest. The viewer, thus, can effectively navigate the underlying visual pattern to reach the great detail for uncovering trends and patterns in the visualization. One novelties of this work is performing focus+context viewing in polar coordinate system.

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  • (2018)Analysis of VINCI 2009-2017 ProceedingsProceedings of the 11th International Symposium on Visual Information Communication and Interaction10.1145/3231622.3231641(97-101)Online publication date: 13-Aug-2018

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cover image ACM Other conferences
VINCI '11: Proceedings of the 2011 Visual Information Communication - International Symposium
August 2011
146 pages
ISBN:9781450307864
DOI:10.1145/2016656
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • ACM SIGCHI CHINA
  • CCF: China Computer Federation

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 August 2011

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Author Tags

  1. coaxial coordinate
  2. multidimensional visualization
  3. parallel coordinates
  4. spatial distortion

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VINCI '11
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  • CCF

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Overall Acceptance Rate 71 of 193 submissions, 37%

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  • (2018)Analysis of VINCI 2009-2017 ProceedingsProceedings of the 11th International Symposium on Visual Information Communication and Interaction10.1145/3231622.3231641(97-101)Online publication date: 13-Aug-2018

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