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Hauptverfasser: Schmitt, Marvin, Hikida, Yuga, Radev, Stefan T, Sadlo, Filip, Bürkner, Paul-Christian
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2403.11141
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author Schmitt, Marvin
Hikida, Yuga
Radev, Stefan T
Sadlo, Filip
Bürkner, Paul-Christian
author_facet Schmitt, Marvin
Hikida, Yuga
Radev, Stefan T
Sadlo, Filip
Bürkner, Paul-Christian
contents The simplex projection expands the capabilities of simplex plots (also known as ternary plots) to achieve a lossless visualization of 4D compositional data on a 2D canvas. Previously, this was only possible for 3D compositional data. We demonstrate how our approach can be applied to individual data points, point clouds, and continuous probability density functions on simplices. While we showcase our visualization technique specifically for 4D compositional data, we offer rigorous proofs that support its extension to compositional data of any (finite) dimensionality.
format Preprint
id arxiv_https___arxiv_org_abs_2403_11141
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The Simplex Projection: Lossless Visualization of 4D Compositional Data on a 2D Canvas
Schmitt, Marvin
Hikida, Yuga
Radev, Stefan T
Sadlo, Filip
Bürkner, Paul-Christian
Graphics
The simplex projection expands the capabilities of simplex plots (also known as ternary plots) to achieve a lossless visualization of 4D compositional data on a 2D canvas. Previously, this was only possible for 3D compositional data. We demonstrate how our approach can be applied to individual data points, point clouds, and continuous probability density functions on simplices. While we showcase our visualization technique specifically for 4D compositional data, we offer rigorous proofs that support its extension to compositional data of any (finite) dimensionality.
title The Simplex Projection: Lossless Visualization of 4D Compositional Data on a 2D Canvas
topic Graphics
url https://arxiv.org/abs/2403.11141