A Comparison of Geographical Propagation Visualizations

要旨

Geographical propagation phenomena occur in multiple domains, such as in epidemiology and social media. Propagation dynamics are often complex, and visualizations play a key role in helping subject-matter experts understand and analyze them. However, there is little empirical data about the effectiveness of the various strategies used to visualize geographical propagation. To fill this gap, we conduct an experiment to evaluate the effectiveness of three strategies: an animated map, small-multiple maps, and a single map with glyphs. We compare them under five tasks that vary in one of the following dimensions: propagation scope, direction, speed, peaks, and spatial jumps. Our results show that small-multiple maps perform best overall, but that the effectiveness of each visualization varies depending on the task considered.

キーワード
Animation
small-multiples
geo-temporal data
propagation
著者
Vanessa Peña-Araya
Université Paris-Saclay, CNRS, Inria, LRI, Orsay, France
Anastasia Bezerianos
Université Paris-Saclay, CNRS, Inria, LRI, Orsay, France
Emmanuel Pietriga
Université Paris-Saclay, CNRS, Inria, LRI, Orsay, France
DOI

10.1145/3313831.3376350

論文URL

https://doi.org/10.1145/3313831.3376350

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Visualizing time, space & money

Paper session
316A MAUI
5 件の発表
2020-04-27 23:00:00
2020-04-28 00:15:00
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