VisMiFlow: Visual Analytics to Support Citizen Migration Understanding Over Time and Space
| dc.contributor.author | Scheidl, Andreas | en_US |
| dc.contributor.author | Leite, Roger A. | en_US |
| dc.contributor.author | Miksch, Silvia | en_US |
| dc.contributor.editor | Agus, Marco and Garth, Christoph and Kerren, Andreas | en_US |
| dc.date.accessioned | 2021-06-12T11:03:26Z | |
| dc.date.available | 2021-06-12T11:03:26Z | |
| dc.date.issued | 2021 | |
| dc.description.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. | en_US |
| dc.description.sectionheaders | Analytics and Applications | |
| dc.description.seriesinformation | EuroVis 2021 - Short Papers | |
| dc.identifier.doi | 10.2312/evs.20211056 | |
| dc.identifier.isbn | 978-3-03868-143-4 | |
| dc.identifier.pages | 61-65 | |
| dc.identifier.uri | https://doi.org/10.2312/evs.20211056 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/evs20211056 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Data | |
| dc.subject | time | |
| dc.subject | oriented | |
| dc.subject | multivariate | |
| dc.subject | geospacial | |
| dc.subject | flow events | |
| dc.title | VisMiFlow: Visual Analytics to Support Citizen Migration Understanding Over Time and Space | en_US |