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/).

Original languageEnglish
Pages (from-to)243-257
Number of pages15
JournalThe R Journal
Volume8
Issue number2
Publication statusPublished - Dec 2016

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