A Cosmic View of Life on Earth: Hierarchical Visualization of Biological Data Using Astronomical Software.

IF 1.4 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
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
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引用次数: 0

Abstract

A goal of data visualization is to advance the understanding of multiparameter, 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, 3-D 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, and human migrations) and facilitates scientific discovery.

地球生命的宇宙观:使用天文软件的生物数据分层可视化。
数据可视化的一个目标是促进对多参数、大规模数据集的理解。在天体物理学中,科学家绘制天体图以了解宇宙的层次结构。在生物学中,基因序列和生物学特征揭示了进化关系和模式(例如,物种内的变异和生态关联)。我们高度跨学科的项目名为“地球生命的宇宙观”,采用了一个名为OpenSpace的沉浸式天体物理学可视化平台,将各种生物数据置于背景中。降维技术协调生物信息,创建空间表示,其中数据在平面屏幕和天文馆圆顶上进行交互式探索。可视化通过地理元数据、标本的三维扫描和特定物种的声音(例如鸟鸣)来丰富。“宇宙观”项目简化了与生物领域(如昆虫、鸟类、哺乳动物、人类迁徙)有关的故事的传播,并促进了科学发现。
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来源期刊
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications 工程技术-计算机:软件工程
CiteScore
3.20
自引率
5.60%
发文量
160
审稿时长
>12 weeks
期刊介绍: IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics, visualization, virtual and augmented reality, and HCI. From specific algorithms to full system implementations, CG&A offers a unique combination of peer-reviewed feature articles and informal departments. Theme issues guest edited by leading researchers in their fields track the latest developments and trends in computer-generated graphical content, while tutorials and surveys provide a broad overview of interesting and timely topics. Regular departments further explore the core areas of graphics as well as extend into topics such as usability, education, history, and opinion. Each issue, the story of our cover focuses on creative applications of the technology by an artist or designer. Published six times a year, CG&A is indispensable reading for people working at the leading edge of computer-generated graphics technology and its applications in everything from business to the arts.
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