hyperoverlap-package: Hyperoverlap: Detection and Visualisation of Overlap in...
In hyperoverlap: Overlap Detection in n-Dimensional Space
hyperoverlap-package R Documentation
Hyperoverlap: Detection and Visualisation of Overlap in n-Dimensional Space
Description
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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/2041-210X.13363")} .
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.
Details
More details available in Brown et al. (2020) <doi:10.1111/2041-210X.13363> and vignette.
Author(s)
Maintainer: Matilda Brown m.brown2@kew.org (ORCID)
Authors:
Greg Jordan
Matilda Brown matilda.brown@utas.edu.au
hyperoverlap documentation built on Jan. 21, 2026, 5:06 p.m.
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| hyperoverlap-package | R Documentation |
Hyperoverlap: Detection and Visualisation of Overlap in n-Dimensional Space
Description
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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/2041-210X.13363")} .
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.
Details
More details available in Brown et al. (2020) <doi:10.1111/2041-210X.13363> and vignette.
Author(s)
Maintainer: Matilda Brown m.brown2@kew.org (ORCID)
Authors:
Greg Jordan
Matilda Brown matilda.brown@utas.edu.au
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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