Topographic Lifeline Maps

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dc.contributor.authorSmajic, Amelen_US
dc.contributor.authorPreiner, Reinholden_US
dc.contributor.editorComino Trinidad, Marcen_US
dc.contributor.editorMancinelli, Claudioen_US
dc.contributor.editorMaggioli, Filippoen_US
dc.contributor.editorRomanengo, Chiaraen_US
dc.contributor.editorCabiddu, Danielaen_US
dc.contributor.editorGiorgi, Danielaen_US
dc.date.accessioned2025-11-21T07:27:55Z
dc.date.available2025-11-21T07:27:55Z
dc.date.issued2025
dc.description.abstractWe introduce Topographic Lifeline Maps (TLMs), a visualization technique that combines a network of lifelines with topographic time maps to present genealogical graphs with both temporal detail and structural clarity. In TLMs, each individual's life is represented as a continuous curve that encodes birth, life events, and death in chronological order, while couples are depicted as parallel, merged lifelines. The layout is computed by a hybrid force model combining repulsion, temporally scaled springs, curvature-straightening, and octilinearization forces. Temporal interpretability is further enhanced through age-aware color encodings, with uncertain or missing dates distinguished visually to guide genealogical research. We demonstrate the expressiveness of TLMs on a large real-world dataset, illustrating diverse family stories, lifespans, and relational structures. A comparative user study against Topographic Attribute Maps (TAMs) shows that, while task performance is similar, participants consistently find TLMs more helpful across all analysis tasks. Our results highlight how mathematical layout formulations can advance genealogical visualization and suggest broader applicability to temporal-relational data beyond genealogy.en_US
dc.description.sectionheadersTools in Computer Graphics
dc.description.seriesinformationSmart Tools and Applications in Graphics - Eurographics Italian Chapter Conference
dc.identifier.doi10.2312/stag.20251320
dc.identifier.isbn978-3-03868-296-7
dc.identifier.issn2617-4855
dc.identifier.pages12 pages
dc.identifier.urihttps://doi.org/10.2312/stag.20251320
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/stag20251320
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Information visualization; Graph drawings
dc.subjectHuman centered computing → Information visualization
dc.subjectGraph drawings
dc.titleTopographic Lifeline Mapsen_US
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