Pie Chart Glyph Visualization of Uncertain Connected Components
| dc.contributor.author | Evers, Marina | en_US |
| dc.contributor.author | Rasheed, Farhan | en_US |
| dc.contributor.author | Masood, Talha Bin | en_US |
| dc.contributor.author | Hotz, Ingrid | en_US |
| dc.contributor.author | Weiskopf, Daniel | en_US |
| dc.contributor.editor | Diehl, Alexandra | en_US |
| dc.contributor.editor | Kucher, Kostiantyn | en_US |
| dc.contributor.editor | Médoc, Nicolas | en_US |
| dc.date.accessioned | 2025-05-26T06:55:02Z | |
| dc.date.available | 2025-05-26T06:55:02Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Edges of graphs are often associated with uncertainty. The inherent uncertainty of the data also induces uncertainty in derived graph attributes such as connected components. Even for planar graphs, visualizing the connected components in the graph embedding while encoding their uncertainty imposes challenges due to overlap. We present a visual encoding for uncertain connected components in a planar graph embedding. The underlying model does not require matching or assumptions on the overlap of the components and emphasizes uncertain boundary regions. We discuss different design options and show the applicability of our approach based on synthetic data and real-world data on force networks in granular materials. | en_US |
| dc.description.sectionheaders | Posters | |
| dc.description.seriesinformation | EuroVis 2025 - Posters | |
| dc.identifier.doi | 10.2312/evp.20251131 | |
| dc.identifier.isbn | 978-3-03868-286-8 | |
| dc.identifier.pages | 3 pages | |
| dc.identifier.uri | https://doi.org/10.2312/evp.20251131 | |
| dc.identifier.uri | https://diglib.eg.org/handle/10.2312/evp20251131 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.rights | Attribution 4.0 International License | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.title | Pie Chart Glyph Visualization of Uncertain Connected Components | en_US |