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A Cosmic View of Life on Earth: Hierarchical Visualization of Biological Data Using Astronomical Software
Author(s) -
Wandrille Duchemin,
Takanori Fujiwara,
Hollister W. Herhold,
Elias Elmquist,
David S. Thaler,
William Harcourt-Smith,
Emma Broman,
Alexander Bock,
Brian P. Abbott,
Jacqueline K. Faherty
Publication year - 2025
Publication title -
ieee computer graphics and applications
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.349
H-Index - 92
eISSN - 1558-1756
pISSN - 0272-1716
DOI - 10.1109/mcg.2025.3591713
Subject(s) - computing and processing , general topics for engineers
A goal of data visualization is to advance the understanding of multi-parameter, large-scale datasets. In astrophysics, scientists map celestial objects to understand the hierarchical structure of the universe. In biology, genetic sequences and biological characteristics uncover evolutionary relationships and patterns (e.g., variation within species and ecological associations). Our highly interdisciplinary project entitled “A Cosmic View of Life on Earth” adapts an immersive astrophysics visualization platform called OpenSpace to contextualize diverse biological data. Dimensionality reduction techniques harmonize biological information to create spatial representations in which data are interactively explored on flat screens and planetarium domes. Visualizations are enriched with geographic metadata, three-dimensional scans of specimens, and species-specific sonifications (e.g., bird songs). The “Cosmic View” project eases the dissemination of stories related to biological domains (e.g., insects, birds, mammals, human migrations) and facilitates scientific discovery.

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