A Comparison Study for Ordination Methods in Ecology
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ko, Hyeon-Seok | - |
dc.contributor.author | Jhun, Myoungshic | - |
dc.contributor.author | Jeong, Hyeong Chul | - |
dc.date.accessioned | 2021-09-04T19:43:27Z | - |
dc.date.available | 2021-09-04T19:43:27Z | - |
dc.date.created | 2021-06-15 | - |
dc.date.issued | 2015-02 | - |
dc.identifier.issn | 1225-066X | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/94556 | - |
dc.description.abstract | Various kinds of ordination methods such as correspondence analysis and canonical correspondence analysis are used in community ecology to visualize relationships among species, sites, and environmental variables. Ter Braak (1986), Jackson and Somers (1991), Parmer (1993), compared the ordination methods using eigenvalue and distance graph. However, these methods did not show the relationship between population and biplot because they are only based on surveyed data. In this paper, a method that measures the extent to show population information to biplot was introduced to compare ordination methods objectively. | - |
dc.language | Korean | - |
dc.language.iso | ko | - |
dc.publisher | KOREAN STATISTICAL SOC | - |
dc.title | A Comparison Study for Ordination Methods in Ecology | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jhun, Myoungshic | - |
dc.identifier.doi | 10.5351/KJAS.2015.28.1.049 | - |
dc.identifier.wosid | 000437594300005 | - |
dc.identifier.bibliographicCitation | KOREAN JOURNAL OF APPLIED STATISTICS, v.28, no.1, pp.49 - 60 | - |
dc.relation.isPartOf | KOREAN JOURNAL OF APPLIED STATISTICS | - |
dc.citation.title | KOREAN JOURNAL OF APPLIED STATISTICS | - |
dc.citation.volume | 28 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 49 | - |
dc.citation.endPage | 60 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART001964827 | - |
dc.description.journalClass | 2 | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.subject.keywordAuthor | Distance graph | - |
dc.subject.keywordAuthor | principal component analysis | - |
dc.subject.keywordAuthor | correspondence analysis | - |
dc.subject.keywordAuthor | redundancy analysis | - |
dc.subject.keywordAuthor | canonical correspondence analysis | - |
dc.subject.keywordAuthor | canonical ordination analysis | - |
dc.subject.keywordAuthor | singular value decomposition | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.