Exploratory Visualization through Copy, Cut and Paste

Jonathan C. Roberts; Rick Walker; Lukas Roberts; R.S. Laramee; Panagiotis D. Ritsos

Exploratory Visualization through Copy, Cut and Paste

Jonathan C. Roberts, Rick Walker, Lukas Roberts, R.S. Laramee, Panagiotis D. Ritsos

School of Computer Science & Engineering

Research output: Contribution to conference › Paper › peer-review

67 Downloads (Pure)

Abstract

Our goal is to help oceanographers to visualize and navigate their data over several runs. We have been using parallel coordinate plots to display every data value. Through our copy, cut, paste interactions we aim to enable users to drill-down into specific data points and to explore the datasets in a more expressive way. The method allows users to manipulate the PCP on a ZUI canvas, take copies of the current PCP and paste different subset views

Original language	English
Number of pages	2
Publication status	Published - 2014
Event	In Posters, IEEE Conference on Information Visualisation: IEEE VIS 2014 - Paris, France, Paris, France Duration: 9 Nov 2014 → 14 Nov 2014 http://ieeevis.org/year/2014/info/call-participation/infovis-papers

Conference

Conference	In Posters, IEEE Conference on Information Visualisation
Abbreviated title	InfoVis 2014
Country/Territory	France
City	Paris
Period	9/11/14 → 14/11/14
Internet address	http://ieeevis.org/year/2014/info/call-participation/infovis-papers

Keywords

Information visualisation
copy, cut and paste
Human Computer Interaction
Zoomable Interface
Parallel Coordinate Plot
Oceanographers
Multiple Coordinated Views
Multiple Views
Scientific Visualisation
Visualisation
Interaction
Visual Analytics

Access to Document

roberts-vis2014PosterAccepted author manuscript, 959 KB

3 Paper
1 Conference contribution
1 Article

Visualisation Data Modelling Graphics (VDMG) at Bangor
Roberts, J. C., Ritsos, P. D., Kuncheva, L., Vidal, F., Lim, I. S., Ap Cenydd, L., Teahan, W., Mansoor, S., Gray, C. & Perkins, D., May 2021. 2 p.
Research output: Contribution to conference › Paper › peer-review

Open Access
File
Interactive Visual Analytics of Coastal Oceanographic Simulation data
George, R., Robins, P., Davies, A. & Roberts, J. C., 14 Oct 2012. 2 p.
Research output: Contribution to conference › Paper › peer-review

Open Access
File
Visual Analytics of Microblog Data for Pandemic and Crisis Analysis
Pritchard, I., Walker, R. & Roberts, J. C., 2012, International Workshop on Visual Analytics (2012) - EuroVA: EuroVA 2012. Matkovic, K. & Santucci, G. (eds.). The Eurographics Association, 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
File
76 Downloads (Pure)

Research Institute of Visual Computing (RIVIC)
Roberts, J. (Participant), (Participant), Ritsos, P. (Participant), Ap Cenydd, L. (Participant), Hope, S. (Participant), (Participant), (Participant), (Participant), (Participant), Scanlan, S. (Participant), Vidal, F. (Participant), (Participant), (Participant) & (Participant)
Impact: Economic, Technological, Environmental, Societal

Explorative coastal oceanographic visual analytics : oceans of data
George, R. (Author), Roberts, J. (Supervisor), 1 Aug 2013
Student thesis: Doctor of Philosophy

File

Cite this

@conference{4a1900f599c64a5ea1e898aea74741e1,

title = "Exploratory Visualization through Copy, Cut and Paste",

abstract = "Our goal is to help oceanographers to visualize and navigate their data over several runs. We have been using parallel coordinate plots to display every data value. Through our copy, cut, paste interactions we aim to enable users to drill-down into specific data points and to explore the datasets in a more expressive way. The method allows users to manipulate the PCP on a ZUI canvas, take copies of the current PCP and paste different subset views",

keywords = "Information visualisation, copy, cut and paste, Human Computer Interaction, Zoomable Interface, Parallel Coordinate Plot, Oceanographers, Multiple Coordinated Views, Multiple Views, Scientific Visualisation, Visualisation, Interaction, Visual Analytics",

author = "Roberts, {Jonathan C.} and Rick Walker and Lukas Roberts and R.S. Laramee and Ritsos, {Panagiotis D.}",

year = "2014",

language = "English",

note = "In Posters, IEEE Conference on Information Visualisation : IEEE VIS 2014, InfoVis 2014 ; Conference date: 09-11-2014 Through 14-11-2014",

url = "http://ieeevis.org/year/2014/info/call-participation/infovis-papers",

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TY - CONF

T1 - Exploratory Visualization through Copy, Cut and Paste

AU - Roberts, Jonathan C.

AU - Walker, Rick

AU - Roberts, Lukas

AU - Laramee, R.S.

AU - Ritsos, Panagiotis D.

PY - 2014

Y1 - 2014

N2 - Our goal is to help oceanographers to visualize and navigate their data over several runs. We have been using parallel coordinate plots to display every data value. Through our copy, cut, paste interactions we aim to enable users to drill-down into specific data points and to explore the datasets in a more expressive way. The method allows users to manipulate the PCP on a ZUI canvas, take copies of the current PCP and paste different subset views

AB - Our goal is to help oceanographers to visualize and navigate their data over several runs. We have been using parallel coordinate plots to display every data value. Through our copy, cut, paste interactions we aim to enable users to drill-down into specific data points and to explore the datasets in a more expressive way. The method allows users to manipulate the PCP on a ZUI canvas, take copies of the current PCP and paste different subset views

KW - Information visualisation

KW - copy, cut and paste

KW - Human Computer Interaction

KW - Zoomable Interface

KW - Parallel Coordinate Plot

KW - Oceanographers

KW - Multiple Coordinated Views

KW - Multiple Views

KW - Scientific Visualisation

KW - Visualisation

KW - Interaction

KW - Visual Analytics

M3 - Paper

T2 - In Posters, IEEE Conference on Information Visualisation

Y2 - 9 November 2014 through 14 November 2014

ER -

Exploratory Visualization through Copy, Cut and Paste

Abstract

Conference

Keywords

Access to Document

Fingerprint

Research output

Visualisation Data Modelling Graphics (VDMG) at Bangor

Interactive Visual Analytics of Coastal Oceanographic Simulation data

Visual Analytics of Microblog Data for Pandemic and Crisis Analysis

Impacts

Research Institute of Visual Computing (RIVIC)

Student theses

Explorative coastal oceanographic visual analytics : oceans of data

Cite this