Geospatial Topographic Attribute Maps
| dc.contributor.author | Pessl, Laura | en_US |
| dc.contributor.author | Schmidt, Johanna | en_US |
| dc.contributor.author | Preiner, Reinhold | en_US |
| dc.contributor.editor | Linsen, Lars | en_US |
| dc.contributor.editor | Thies, Justus | en_US |
| dc.date.accessioned | 2024-09-09T05:26:50Z | |
| dc.date.available | 2024-09-09T05:26:50Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Genealogists study familial and ancestral relations in the temporal and historical context of their life events, including a geospatial context that studies the spread of families' origins, familial historical migration events, and varying relations between families and certain places over time. Genealogical data often constitute large, multimodal graphs encoding familial ties, which genealogist usually want to analyse using graphical representations. Geospatial information can supplement these relations, reflecting dates and locations of significant life events. To account for this additional information, we present Geospatial Topographic Attribute Maps (GeoTAMs). GeoTAMs extend Topographic Attribute Maps (TAMs), integrating a structural and temporal view on an ancestral graph with means to depict geospatial information about families and individuals. We employ a multi-view approach to represent temporal and spatial information in a genealogy graph. Evaluation results from a user study show that GeoTAMs support complex queries over graphical connections, time, and space. | en_US |
| dc.description.sectionheaders | Information Visualization | |
| dc.description.seriesinformation | Vision, Modeling, and Visualization | |
| dc.identifier.doi | 10.2312/vmv.20241201 | |
| dc.identifier.isbn | 978-3-03868-247-9 | |
| dc.identifier.pages | 8 pages | |
| dc.identifier.uri | https://doi.org/10.2312/vmv.20241201 | |
| dc.identifier.uri | https://diglib.eg.org/handle/10.2312/vmv20241201 | |
| 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.subject | CCS Concepts: Human-centered computing → Visualization; Applied computing → Arts and humanities | |
| dc.subject | Human centered computing → Visualization | |
| dc.subject | Applied computing → Arts and humanities | |
| dc.title | Geospatial Topographic Attribute Maps | en_US |
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