Data-driven Education on Biodiversity through Visualizing Spatial Co-occurrence Clusters

dc.contributor.authorArguedas, Raquelen_US
dc.contributor.authorPoddar, Madhaven_US
dc.contributor.authorSancho-Chavarria, Lillianaen_US
dc.contributor.authorBeck, Fabianen_US
dc.contributor.editorDiehl, Alexandraen_US
dc.contributor.editorKucher, Kostiantynen_US
dc.contributor.editorMédoc, Nicolasen_US
dc.date.accessioned2025-05-26T06:54:45Z
dc.date.available2025-05-26T06:54:45Z
dc.date.issued2025
dc.description.abstractEducational efforts have raised awareness of biodiversity and ecosystems, but tools that enable broad audiences to explore and understand them through data collected by researchers and citizens remain limited. We propose a clustering approach that visually reveals co-occurrences of species from specific sightings. The interface offers two views: one showing co-occurrence clusters in projected space, the other highlighting them on a map.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEuroVis 2025 - Posters
dc.identifier.doi10.2312/evp.20251125
dc.identifier.isbn978-3-03868-286-8
dc.identifier.pages3 pages
dc.identifier.urihttps://doi.org/10.2312/evp.20251125
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/evp20251125
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleData-driven Education on Biodiversity through Visualizing Spatial Co-occurrence Clustersen_US
Files
Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
evp20251125.pdf
Size:
449.42 KB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
1005-file-i7.pdf
Size:
2.03 MB
Format:
Adobe Portable Document Format