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PRINCIPAL COMPONENT ANALYSIS OF TAXONOMIC DATA WITH MULTI‐STATE DISCRETE CHARACTERS
Abstract
Summary: It is shown how principal component analysis can be extended to allow for multi‐state discrete characters as well as continuous characters. When all the characters are discrete, the proposed extension reduces to correspondence analysis. A taxonomic example is given to illustrate the method in practice. The technique allows the estimation of a taxonomic distance between objects which have been scored for multi‐state characters. However, taxonomic structure may be better inferred directly from the ordination, rather than by constructing a taxonomic distance measure.
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Cited by
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CHEVENE, F., DOLÉADEC, S., & CHESSEL, D. (1994) · Freshwater Biology · doi:10.1111/j.1365-2427.1994.tb01742.x · Cited by 1,008
Devictor, V., Mouillot, D., Meynard, C., Jiguet, F., Thuiller, W., & Mouquet, N. (2010) · Ecology Letters · doi:10.1111/j.1461-0248.2010.01493.x · Cited by 986
Landscape simplification filters species traits and drives biotic homogenization
Gámez-Virués, S., Perović, D. J., Gossner, M. M., Börschig, C., Blüthgen, N., de Jong, H., Simons, N. K., Klein, A.-M., Krauss, J., Maier, G., et al. (2015) · Nature Communications · doi:10.1038/ncomms9568 · Cited by 666
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Metadata
- Authors
- Hill, M. O., & Smith, A. J. E.
- Venue
- TAXON
- Publisher
- Wiley
- Published
- 1976-05
- Volume
- 25
- Issue
- 2-3
- Pages
- 249-255
- ISSN
- 0040-0262 (ISSN-L)
- 1996-8175
- OpenAlex
- W1976053777
- Cited by
- 328
- References
- 0
- FWCI
- 3.83
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: PRINCIPAL COMPONENT ANALYSIS OF TAXONOMIC DATA WITH MULTI‐STATE DISCRETE CHARACTERS. https://app.cochat.ai/papers/10.2307/1219449
- The paper
- Hill, M. O., & Smith, A. J. E. (1976). PRINCIPAL COMPONENT ANALYSIS OF TAXONOMIC DATA WITH MULTI‐STATE DISCRETE CHARACTERS. TAXON. https://doi.org/10.2307/1219449
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
