Collaborative Computational Projects: Visualisation Applications Survey

David Morris; R. Fowler; M Turner

Collaborative Computational Projects: Visualisation Applications Survey

David Morris, R. Fowler, M Turner

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This extended abstract presents initial outcomes from three visualisation user needs surveys, and includes an invitation for new communities to engage with follow-on surveys. Statistical and text cluster analysis have been used to assist specific computational groups; to select certain visualisation application packages for software development and to select which new algorithms to implement. This analysis is now also available for advising and creating recommendations to build a long term visualisation support service. The focus of this work has been on looking at the use of software toolkits and application packages rather then surveying specific visualisation algorithm techniques.

Original language	English
Title of host publication	Computer Graphics and Visual Computing
Subtitle of host publication	CGVC '16 Proceedings of the conference on Computer Graphics & Visual Computing
Editors	Cagatay Turkay , Tao Ruan Wan
Place of Publication	Aire-la-Ville
Publisher	Eurographics Association
Pages	29-31
Number of pages	3
ISBN (Print)	978-3-03868-022-2
Publication status	Accepted/In press - 17 Aug 2016
Event	Computer Graphics & Visual Computing (CGVC) 2016 - Bournemouth University, Bournemouth, United Kingdom Duration: 15 Sept 2016 → 16 Sept 2016

Conference

Conference	Computer Graphics & Visual Computing (CGVC) 2016
Country/Territory	United Kingdom
City	Bournemouth
Period	15/09/16 → 16/09/16

Cite this

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title = "Collaborative Computational Projects: Visualisation Applications Survey",

abstract = "This extended abstract presents initial outcomes from three visualisation user needs surveys, and includes an invitation for new communities to engage with follow-on surveys. Statistical and text cluster analysis have been used to assist specific computational groups; to select certain visualisation application packages for software development and to select which new algorithms to implement. This analysis is now also available for advising and creating recommendations to build a long term visualisation support service. The focus of this work has been on looking at the use of software toolkits and application packages rather then surveying specific visualisation algorithm techniques.",

author = "David Morris and R. Fowler and M Turner",

year = "2016",

month = aug,

day = "17",

language = "English",

isbn = "978-3-03868-022-2",

pages = "29--31",

editor = "{Turkay }, {Cagatay } and Wan, {Tao Ruan }",

booktitle = "Computer Graphics and Visual Computing",

publisher = "Eurographics Association",

address = "Switzerland",

note = "Computer Graphics & Visual Computing (CGVC) 2016 ; Conference date: 15-09-2016 Through 16-09-2016",

}

Morris, D, Fowler, R & Turner, M 2016, Collaborative Computational Projects: Visualisation Applications Survey. in C Turkay & TR Wan (eds), Computer Graphics and Visual Computing : CGVC '16 Proceedings of the conference on Computer Graphics & Visual Computing . Eurographics Association, Aire-la-Ville, pp. 29-31, Computer Graphics & Visual Computing (CGVC) 2016, Bournemouth, United Kingdom, 15/09/16.

Collaborative Computational Projects: Visualisation Applications Survey. / Morris, David; Fowler, R.; Turner, M.
Computer Graphics and Visual Computing : CGVC '16 Proceedings of the conference on Computer Graphics & Visual Computing . ed. / Cagatay Turkay ; Tao Ruan Wan. Aire-la-Ville: Eurographics Association, 2016. p. 29-31.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Collaborative Computational Projects

T2 - Computer Graphics & Visual Computing (CGVC) 2016

AU - Morris, David

AU - Fowler, R.

AU - Turner, M

PY - 2016/8/17

Y1 - 2016/8/17

N2 - This extended abstract presents initial outcomes from three visualisation user needs surveys, and includes an invitation for new communities to engage with follow-on surveys. Statistical and text cluster analysis have been used to assist specific computational groups; to select certain visualisation application packages for software development and to select which new algorithms to implement. This analysis is now also available for advising and creating recommendations to build a long term visualisation support service. The focus of this work has been on looking at the use of software toolkits and application packages rather then surveying specific visualisation algorithm techniques.

AB - This extended abstract presents initial outcomes from three visualisation user needs surveys, and includes an invitation for new communities to engage with follow-on surveys. Statistical and text cluster analysis have been used to assist specific computational groups; to select certain visualisation application packages for software development and to select which new algorithms to implement. This analysis is now also available for advising and creating recommendations to build a long term visualisation support service. The focus of this work has been on looking at the use of software toolkits and application packages rather then surveying specific visualisation algorithm techniques.

M3 - Chapter

SN - 978-3-03868-022-2

SP - 29

EP - 31

BT - Computer Graphics and Visual Computing

A2 - Turkay , Cagatay

A2 - Wan, Tao Ruan

PB - Eurographics Association

CY - Aire-la-Ville

Y2 - 15 September 2016 through 16 September 2016

ER -

Collaborative Computational Projects: Visualisation Applications Survey

Abstract

Conference

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