Towards Quantifying Multiple View Layouts in Visualisation as Seen from Research Publications

Hayder Mahdi Abdullah Al-Maneea; Jonathan C. Roberts

Towards Quantifying Multiple View Layouts in Visualisation as Seen from Research Publications

Hayder Mahdi Abdullah Al-Maneea
, Jonathan C. Roberts

School of Computer Science & Engineering

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

510 Downloads (Pure)

Abstract

We present initial results of a quantitative analysis of how developers
layout the visualisations in their multiple view systems. Many developers
create multiple view systems and the technique is commonly
used by the visualisation community. Each visualisation shows data
in a different way, and often user interaction is coordinated between
the views. But it is not always clear to know how many views a
developer should use, or what would be the best layout. We extract
images of visualisation tools, across TVCG journal, conference,
posters and workshop papers 2012-2018 to analyse the quantity and
layout of the views in these visualisation systems. Focusing on view
juxtaposition, we code the layout of 491 images and analyse view
topology in juxtaposed views. Our analysis acts as a starting point
to help designers create better visualisations, acts as a taxonomy of
visualisation layouts, and provides a quantitative analysis of how
many views developers have used in their visualisation systems.

Original language	English
Number of pages	5
Publication status	Published - Oct 2019
Event	IEE: VIS2019 - Vancouver, Canada Duration: 20 Oct 2019 → 25 Oct 2019 http://ieeevis.org/year/2019/info/week-at-a-glance

Conference

Conference	IEE: VIS2019
Country/Territory	Canada
City	Vancouver
Period	20/10/19 → 25/10/19
Internet address	http://ieeevis.org/year/2019/info/week-at-a-glance

Keywords

Information visualization
Multiple view layouts

Access to Document

Towards Quantifying Multiple View Layouts in Visualisation as Seen from Research PublicationsFinal published version, 1.27 MBLicence: Unspecified

Cite this

@conference{258f2ca72259443b9e9a40284599f5be,

title = "Towards Quantifying Multiple View Layouts in Visualisation as Seen from Research Publications",

abstract = "We present initial results of a quantitative analysis of how developers layout the visualisations in their multiple view systems. Many developers create multiple view systems and the technique is commonly used by the visualisation community. Each visualisation shows data in a different way, and often user interaction is coordinated between the views. But it is not always clear to know how many views a developer should use, or what would be the best layout. We extract images of visualisation tools, across TVCG journal, conference, posters and workshop papers 2012-2018 to analyse the quantity and layout of the views in these visualisation systems. Focusing on view juxtaposition, we code the layout of 491 images and analyse view topology in juxtaposed views. Our analysis acts as a starting point to help designers create better visualisations, acts as a taxonomy of visualisation layouts, and provides a quantitative analysis of how many views developers have used in their visualisation systems.",

keywords = "Information visualization, Multiple view layouts",

author = "Al-Maneea, \{Hayder Mahdi Abdullah\} and Roberts, \{Jonathan C.\}",

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year = "2019",

month = oct,

language = "English",

url = "http://ieeevis.org/year/2019/info/week-at-a-glance",

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T1 - Towards Quantifying Multiple View Layouts in Visualisation as Seen from Research Publications

AU - Al-Maneea, Hayder Mahdi Abdullah

AU - Roberts, Jonathan C.

N1 - @article{Al-maneea-etal-IEEE VIS Conference-2019, author = {Al-maneea, Hayder M.; Roberts, Jonathan. C.}, Conference = {IEEE VIS 2019 Conference-2019, title = { Towards Quantifying Multiple View Layouts in Visualisation as Seen from Research Publications}, year = {2019}, month = Oct, url = {}, DOI ={} }

PY - 2019/10

Y1 - 2019/10

N2 - We present initial results of a quantitative analysis of how developers layout the visualisations in their multiple view systems. Many developers create multiple view systems and the technique is commonly used by the visualisation community. Each visualisation shows data in a different way, and often user interaction is coordinated between the views. But it is not always clear to know how many views a developer should use, or what would be the best layout. We extract images of visualisation tools, across TVCG journal, conference, posters and workshop papers 2012-2018 to analyse the quantity and layout of the views in these visualisation systems. Focusing on view juxtaposition, we code the layout of 491 images and analyse view topology in juxtaposed views. Our analysis acts as a starting point to help designers create better visualisations, acts as a taxonomy of visualisation layouts, and provides a quantitative analysis of how many views developers have used in their visualisation systems.

AB - We present initial results of a quantitative analysis of how developers layout the visualisations in their multiple view systems. Many developers create multiple view systems and the technique is commonly used by the visualisation community. Each visualisation shows data in a different way, and often user interaction is coordinated between the views. But it is not always clear to know how many views a developer should use, or what would be the best layout. We extract images of visualisation tools, across TVCG journal, conference, posters and workshop papers 2012-2018 to analyse the quantity and layout of the views in these visualisation systems. Focusing on view juxtaposition, we code the layout of 491 images and analyse view topology in juxtaposed views. Our analysis acts as a starting point to help designers create better visualisations, acts as a taxonomy of visualisation layouts, and provides a quantitative analysis of how many views developers have used in their visualisation systems.

KW - Information visualization

KW - Multiple view layouts

UR - https://vimeo.com/363453583

M3 - Paper

T2 - IEE: VIS2019

Y2 - 20 October 2019 through 25 October 2019

ER -

Towards Quantifying Multiple View Layouts in Visualisation as Seen from Research Publications

Abstract

Conference

Keywords

Access to Document

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