Escape from boxland: Generating a library of high-dimensional geometric shapes

Barret Schloerke, Hadley Wickham, Dianne Cook, Heike Hofmann

Research output: Contribution to journalArticleResearchpeer-review

Abstract

A library of common geometric shapes can be used to train our brains for understanding data structure in high-dimensional Euclidean space. This article describes the methods for producing cubes, spheres, simplexes, and tori in multiple dimensions. It also describes new ways to define and generate high-dimensional tori. The algorithms are described, critical code chunks are given, and a large collection of generated data are provided. These are available in the R package geozoo, and selected movies and images, are available on the GeoZoo web site (http://schloerke.github.io/geozoo/).

LanguageEnglish
Pages243-257
Number of pages15
JournalThe R Journal
Volume8
Issue number2
Publication statusPublished - Dec 2016

Cite this

Schloerke, B., Wickham, H., Cook, D., & Hofmann, H. (2016). Escape from boxland: Generating a library of high-dimensional geometric shapes. The R Journal, 8(2), 243-257.
Schloerke, Barret ; Wickham, Hadley ; Cook, Dianne ; Hofmann, Heike. / Escape from boxland : Generating a library of high-dimensional geometric shapes. In: The R Journal. 2016 ; Vol. 8, No. 2. pp. 243-257.
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Schloerke, B, Wickham, H, Cook, D & Hofmann, H 2016, 'Escape from boxland: Generating a library of high-dimensional geometric shapes' The R Journal, vol. 8, no. 2, pp. 243-257.

Escape from boxland : Generating a library of high-dimensional geometric shapes. / Schloerke, Barret; Wickham, Hadley; Cook, Dianne; Hofmann, Heike.

In: The R Journal, Vol. 8, No. 2, 12.2016, p. 243-257.

Research output: Contribution to journalArticleResearchpeer-review

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