Article

Brushing moments in interactive visual analysis

Authors:

Johannes Kehrer,

Peter Filzmoser,

Helwig HauserAuthors Info & Claims

EuroVis'10: Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization

Pages 813 - 822

https://doi.org/10.1111/j.1467-8659.2009.01697.x

Published: 09 June 2010 Publication History

Abstract

We present a systematic study of opportunities for the interactive visual analysis of multi-dimensional scientific data that is based on the integration of statistical aggregations along selected independent data dimensions in a framework of coordinated multiple views (with linking and brushing). Traditional and robust estimates of the four statistical moments (mean, variance, skewness, and kurtosis) as well as measures of outlyingness are integrated in an iterative visual analysis process. Brushing particular statistics, the analyst can investigate data characteristics such as trends and outliers. We present a categorization of beneficial combinations of attributes in 2D scatterplots: (a) kth vs. (k+1)th statistical moment of a traditional or robust estimate, (b) traditional vs. robust version of the same moment, (c) two different robust estimates of the same moment. We propose selected view transformations to iteratively construct this multitude of informative views as well as to enhance the depiction of the statistical properties in scatterplots and quantile plots. In the framework, we interrelate the original distributional data and the aggregated statistics, which allows the analyst to work with both data representations simultaneously. We demonstrate our approach in the context of two visual analysis scenarios of multi-run climate simulations.

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Cited By

Ma BEntezari A(2019)An Interactive Framework for Visualization of Weather Forecast EnsemblesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.286481525:1(1091-1101)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1109/TVCG.2018.2864815
Matković KGračanin DHauser HJohansson BJain S(2018)Visual analytics for simulation ensemblesProceedings of the 2018 Winter Simulation Conference10.5555/3320516.3320563(321-335)Online publication date: 9-Dec-2018
https://dl.acm.org/doi/10.5555/3320516.3320563
Radoš SSplechtna RMatković Kźuras MGröller EHauser H(2016)Towards Quantitative Visual Analytics with Structured Brushing and Linked StatisticsComputer Graphics Forum10.5555/3071534.307156235:3(251-260)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.5555/3071534.3071562
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Information & Contributors

Information

Published In

cover image Guide Proceedings

EuroVis'10: Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization

June 2010

1250 pages

Editors:
Guy Melançon
Université de Bordeaux, France
,
Tamara Munzner
University of British Columbia, Canada
,
Daniel Weiskopf
Universität Stuttgart, Germany

Sponsors

LaBRI: LaBRI
Conseil Rgional d'Aquitaine
Université Bordeaux 1: Université Bordeaux 1
INRIA: Institut Natl de Recherche en Info et en Automatique
IEEE-CS\DATC: IEEE Computer Society

Publisher

The Eurographs Association & John Wiley & Sons, Ltd.

Chichester, United Kingdom

Publication History

Published: 09 June 2010

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Cited By

Ma BEntezari A(2019)An Interactive Framework for Visualization of Weather Forecast EnsemblesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.286481525:1(1091-1101)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1109/TVCG.2018.2864815
Matković KGračanin DHauser HJohansson BJain S(2018)Visual analytics for simulation ensemblesProceedings of the 2018 Winter Simulation Conference10.5555/3320516.3320563(321-335)Online publication date: 9-Dec-2018
https://dl.acm.org/doi/10.5555/3320516.3320563
Radoš SSplechtna RMatković Kźuras MGröller EHauser H(2016)Towards Quantitative Visual Analytics with Structured Brushing and Linked StatisticsComputer Graphics Forum10.5555/3071534.307156235:3(251-260)Online publication date: 1-Jun-2016
https://dl.acm.org/doi/10.5555/3071534.3071562
Rodrigues JCirilo CPrado AZaina LShin SMaldonado J(2013)Hierarchical visual filtering, pragmatic and epistemic actions for database visualizationProceedings of the 28th Annual ACM Symposium on Applied Computing10.1145/2480362.2480545(946-952)Online publication date: 18-Mar-2013
https://dl.acm.org/doi/10.1145/2480362.2480545
Peng ZGeng ZNicholas MLaramee RCroft NMalki RMasters IHansen C(2013)Visualization of flow past a marine turbineComputing and Visualization in Science10.1007/s00791-014-0229-416:3(89-103)Online publication date: 1-Jun-2013
https://dl.acm.org/doi/10.1007/s00791-014-0229-4

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