Overlap Detection in n-Dimensional Space
Overview
Uses support vector machines to identify a perfectly separating hyperplane (linear or curvilinear) between two entities in high-dimensional space. If this plane exists, the entities do not overlap. Applications include overlap detection in morphological, resource or environmental dimensions. More details can be found in: Brown et al. (2020) doi:10.1111/2041-210X.13363 .
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 7 (1 internal)includes a package overview page
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 80%
- Help pages citing references
- 0%
- hyperoverlap HTML
Downloads
Dependencies
Code & Tests
People & History
Package metadata
- First published
- 2020-09-04
- Total releases
- 4 / 6 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.4.0
- Download size
- 391 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("hyperoverlap")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.