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XmdvTool: integrating multiple methods for visualizing multivariate data

Author:

Matthew O. WardAuthors Info & Claims

VIS '94: Proceedings of the conference on Visualization '94

Pages 326 - 333

Published: 17 October 1994 Publication History

Abstract

Much of the attention in visualization research has focussed on data rooted in physical phenomena, which is generally limited to three or four dimensions. However, many sources of data do not share this dimensional restriction. A critical problem in the analysis of such data is providing researchers with tools to gain insights into characteristics of the data, such as anomalies and patterns. Several visualization methods have been developed to address this problem, and each has its strengths and weaknesses. This paper describes a system named XmdvTool which integrates several of the most common methods for projecting multivariate data onto a two-dimensional screen. This integration allows users to explore their data in a variety of formats with ease. A view enhancement mechanism called an N-dimensional brush is also described. The brush allows users to gain insights into spatial relationships over N dimensions by highlighting data which falls within a user-specified subspace.

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Ward, M. O., "N-dimensional brushes: gaining insights into relationships in N-D data," submitted for publication, 1993.

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Ward, M. O., LeBlanc, J. T., Tipnis, R., "N-Land: a graphical tool for exploring N-dimensional data," to be published in Proceedings of CG International '94, 1994.

Cited By

Jesenko DBrumen MLukač NŽalik BMongus D(2018)Visualization and Analytics Tool for Multi-dimensional DataProceedings of the 2018 International Conference on Big Data and Education10.1145/3206157.3206159(11-15)Online publication date: 9-Mar-2018
https://dl.acm.org/doi/10.1145/3206157.3206159
Ruan ZMiao YPan LXiang YZhang J(2018)Big network traffic data visualizationMultimedia Tools and Applications10.1007/s11042-017-5495-y77:9(11459-11487)Online publication date: 1-May-2018
https://dl.acm.org/doi/10.1007/s11042-017-5495-y
Angelini MFerro NSantucci GSilvello GSedlmair MTominski C(2017)Visual analytics for information retrieval evaluation campaignsProceedings of the EuroVis Workshop on Visual Analytics10.2312/eurova.20171115(25-29)Online publication date: 12-Jun-2017
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Published In

cover image ACM Conferences

VIS '94: Proceedings of the conference on Visualization '94

October 1994

455 pages

ISBN:0780325214

Conference Chairs:
Andries van Dam
Brown University
,
Nahum Gershon
The MITRE Corporation
,
Carol Hunter
Lawrence Livermore National Lab
,
Editors:
Dan Bergeron
University of New Hampshire
,
Arie Kaufman
SUNY at Stony Brook
,
Program Chairs:
Bill Ribarsky
Georgia Institute of Technology
,
Larry Rosenblum
Naval Research Lab

Sponsors

SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
IEEE Computer Society Technical Committee on Computer Graphics

Publisher

IEEE Computer Society Press

Washington, DC, United States

Publication History

Published: 17 October 1994

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VIS94

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SIGGRAPH

VIS94: IEEE Visualization '94

October 17 - 21, 1994

Washinton, D.C.

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Cited By

Jesenko DBrumen MLukač NŽalik BMongus D(2018)Visualization and Analytics Tool for Multi-dimensional DataProceedings of the 2018 International Conference on Big Data and Education10.1145/3206157.3206159(11-15)Online publication date: 9-Mar-2018
https://dl.acm.org/doi/10.1145/3206157.3206159
Ruan ZMiao YPan LXiang YZhang J(2018)Big network traffic data visualizationMultimedia Tools and Applications10.1007/s11042-017-5495-y77:9(11459-11487)Online publication date: 1-May-2018
https://dl.acm.org/doi/10.1007/s11042-017-5495-y
Angelini MFerro NSantucci GSilvello GSedlmair MTominski C(2017)Visual analytics for information retrieval evaluation campaignsProceedings of the EuroVis Workshop on Visual Analytics10.2312/eurova.20171115(25-29)Online publication date: 12-Jun-2017
https://dl.acm.org/doi/10.2312/eurova.20171115
Ganuza MFerracutti GGargiulo FCastro SBjerg EGröller EMatković KZemcik PBittner JViola I(2017)Interactive visual categorization of spinel-group mineralsProceedings of the 33rd Spring Conference on Computer Graphics10.1145/3154353.3154359(1-11)Online publication date: 15-May-2017
https://dl.acm.org/doi/10.1145/3154353.3154359
Liu SMaljovec DWang BBremer PPascucci V(2017)Visualizing High-Dimensional DataIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2016.264096023:3(1249-1268)Online publication date: 1-Mar-2017
https://dl.acm.org/doi/10.1109/TVCG.2016.2640960
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
Simons GAment MHerholz SDachsbacher CEisemann MEisemann EGuthe MHullin MStamminger MWeinkauf T(2016)An interactive information visualization approach to physically-based renderingProceedings of the Conference on Vision, Modeling and Visualization10.5555/3056901.3056930(169-177)Online publication date: 10-Oct-2016
https://dl.acm.org/doi/10.5555/3056901.3056930
Huang MHuang TZhang X(2016)A novel virtual node approach for interactive visual analytics of big datasets in parallel coordinatesFuture Generation Computer Systems10.1016/j.future.2015.02.00355:C(510-523)Online publication date: 1-Feb-2016
https://dl.acm.org/doi/10.1016/j.future.2015.02.003
Raidou Rvan der Heide UDinh CGhobadi GKallehauge JBreeuwer MVilanova A(2015)Visual Analytics for the Exploration of Tumor Tissue CharacterizationComputer Graphics Forum10.5555/2858877.285888034:3(11-20)Online publication date: 1-Jun-2015
https://dl.acm.org/doi/10.5555/2858877.2858880
Raidou RBreeuwer MVilanova Avan der Heide Uvan Houdt PViola IBühler KRopinski T(2014)The iCoCooNProceedings of the 4th Eurographics Workshop on Visual Computing for Biology and Medicine10.5555/2855637.2855640(11-20)Online publication date: 4-Sep-2014
https://dl.acm.org/doi/10.5555/2855637.2855640
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