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Using Point Cloud Interpolation to Present a Cosmic View of Life on Earth
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
2023 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This research paper builds upon the previous work conducted by Emma Segolsson and Linn Storesund, former Masters students, in January 2022. The project represents a multidisciplinary effort that combines astrophysics and bioinformatics and is a collaboration between Linköping University (LiU), the University of Basel, and the American Museum of Natural History (AMNH) in New York. The primary objective is to leverage OpenSpace, an open-source software widely used for visualizing three-dimensional space, to create an informative and interactive visualization of the tree of life, depicting the relationships between various species. Using OpenSpace, different visualization techniques were explored and evaluated to enrich the research and public comprehension of information space, data representations, and the overarching narrative. The outcome encompasses a visualization of the tree of life, complemented by images of species with a border color, in addition to the pre-existing colored points from the previous work conducted by Segolsson and Storesund. Moreover, the project incorporates the functionality of interpolating between different spatial distributions of the dataset. Furthermore, a functionality for analyzing the shifts in distance between various representations of the same dataset was also developed.

Place, publisher, year, edition, pages
2023. , p. 55
Keywords [en]
OpenSpace, Cosmic, Earth, Biodiversity, Bioinformatics, Tree of Life, Taxonomy, Dimensionality reduction, Interpolation, 3D Visualization
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:liu:diva-199028ISRN: LiU-ITN-TEK-A--23/046--SEOAI: oai:DiVA.org:liu-199028DiVA, id: diva2:1810338
Subject / course
Media Technology
Uppsok
Technology
Supervisors
Examiners
Note

Examensarbetet är utfört vid Institutionen för teknik och naturvetenskap (ITN) vid Tekniska fakulteten, Linköpings universitet

Available from: 2023-11-07 Created: 2023-11-07 Last updated: 2023-11-07Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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