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:

Viusal Analytics, Visualization, Time, Space

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.