TY - CONF

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 developerslayout the visualisations in their multiple view systems. Many developerscreate multiple view systems and the technique is commonlyused by the visualisation community. Each visualisation shows datain a different way, and often user interaction is coordinated betweenthe views. But it is not always clear to know how many views adeveloper should use, or what would be the best layout. We extractimages of visualisation tools, across TVCG journal, conference,posters and workshop papers 2012-2018 to analyse the quantity andlayout of the views in these visualisation systems. Focusing on viewjuxtaposition, we code the layout of 491 images and analyse viewtopology in juxtaposed views. Our analysis acts as a starting pointto help designers create better visualisations, acts as a taxonomy ofvisualisation layouts, and provides a quantitative analysis of howmany views developers have used in their visualisation systems.

AB - We present initial results of a quantitative analysis of how developerslayout the visualisations in their multiple view systems. Many developerscreate multiple view systems and the technique is commonlyused by the visualisation community. Each visualisation shows datain a different way, and often user interaction is coordinated betweenthe views. But it is not always clear to know how many views adeveloper should use, or what would be the best layout. We extractimages of visualisation tools, across TVCG journal, conference,posters and workshop papers 2012-2018 to analyse the quantity andlayout of the views in these visualisation systems. Focusing on viewjuxtaposition, we code the layout of 491 images and analyse viewtopology in juxtaposed views. Our analysis acts as a starting pointto help designers create better visualisations, acts as a taxonomy ofvisualisation layouts, and provides a quantitative analysis of howmany 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 -