Talks and Poster Presentations (with Proceedings-Entry):
A. Scheidl, R. Leite, S. Miksch:
"VisMiFlow: Visual Analytics to Support Citizen Migration Understanding Over Time and Space";
Talk: Eurographics Proceedings,
Zürich, Switzerland;
2021-06-14
- 2021-06-18; in: "EuroVis 2021 - Short Papers",
M. Agus, C. Garth, A. Kerren (ed.);
The Eurographics Association,
Geneve, Switzerland
(2021),
ISBN: 978-3-03868-143-4;
1
- 5.
English abstract:
Multivariate networks are complex data structures, which are ubiquitous in many application domains. Driven by a real-world
problem, namely the movement behavior of citizens in Vienna, we designed and implemented a Visual Analytics (VA) approach to
ease citizen behavior analyses over time and space. We used a dataset of citizens´ movement behavior to, from, or within Vienna
from 2007 to 2018, provided by Vienna´s city. To tackle the complexity of time, space, and other moving people´s attributes, we
follow a data-user-tasks design approach to support urban developers. We qualitatively evaluated our VA approach with five
experts coming from the field of VA and one non-expert. The evaluation illustrated the importance of task-specific visualization
and interaction techniques to support users´ decision-making and insights. We elaborate on our findings and suggest potential
future works to the field.
German abstract:
.
Keywords:
Viusal Analytics, Visualization, Time, Space
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.2312/evs.20211056
Electronic version of the publication:
https://publik.tuwien.ac.at/files/publik_302493.pdf
Created from the Publication Database of the Vienna University of Technology.