On selecting indirect ordination methods
Summary A set of forty stands from an alpine fell-field in the Washington Cascades was used to test these ordination methods: polar ordination, principal components analysis, reciprocal averaging, and multidimensional scalings. Because no object ‘true’ ordination can be known for such data, a series...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Del Moral, Roger [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
1980 |
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| Schlagwörter: |
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| Anmerkung: |
© Dr. W. Junk b.v. Publishers 1980 |
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| Übergeordnetes Werk: |
Enthalten in: Vegetatio - Kluwer Academic Publishers, 1948, 42(1980), 1-3 vom: Okt., Seite 75-84 |
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| Übergeordnetes Werk: |
volume:42 ; year:1980 ; number:1-3 ; month:10 ; pages:75-84 |
| Links: |
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| DOI / URN: |
10.1007/BF00048873 |
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| Katalog-ID: |
OLC208423915X |
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| 520 | |a Summary A set of forty stands from an alpine fell-field in the Washington Cascades was used to test these ordination methods: polar ordination, principal components analysis, reciprocal averaging, and multidimensional scalings. Because no object ‘true’ ordination can be known for such data, a series of evaluative methods were employed to characterize each method. These criteria included the rank correlation to a direct ordination based on habitat data, the degree of distortion, skewness, and disjunction revealed, the ability to separate stands, the efficiency of species ordinations, ease of interpretation, objectivity, and how well the method recovers a classification of the same data. Based on these criteria, reciprocal averaging performs best, with principal components analysis and multidimensional scaling not much worse. Most polar ordinations produce significant disjunctions and fail to separate stands well in one or more dimensions. Both of these properties result from the selection of partially disjunct stands as end points. These conclusions apply only to data with low beta diversity. | ||
| 650 | 4 | |a Direct ordination | |
| 650 | 4 | |a multidimensional scaling | |
| 650 | 4 | |a Ordination comparisons | |
| 650 | 4 | |a Polar ordination | |
| 650 | 4 | |a Principal components analysis | |
| 650 | 4 | |a Reciprocal averaging | |
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10.1007/BF00048873 doi (DE-627)OLC208423915X (DE-He213)BF00048873-p DE-627 ger DE-627 rakwb eng 580 VZ 12 ssgn BIODIV DE-30 fid Del Moral, Roger verfasserin aut On selecting indirect ordination methods 1980 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Dr. W. Junk b.v. Publishers 1980 Summary A set of forty stands from an alpine fell-field in the Washington Cascades was used to test these ordination methods: polar ordination, principal components analysis, reciprocal averaging, and multidimensional scalings. Because no object ‘true’ ordination can be known for such data, a series of evaluative methods were employed to characterize each method. These criteria included the rank correlation to a direct ordination based on habitat data, the degree of distortion, skewness, and disjunction revealed, the ability to separate stands, the efficiency of species ordinations, ease of interpretation, objectivity, and how well the method recovers a classification of the same data. Based on these criteria, reciprocal averaging performs best, with principal components analysis and multidimensional scaling not much worse. Most polar ordinations produce significant disjunctions and fail to separate stands well in one or more dimensions. Both of these properties result from the selection of partially disjunct stands as end points. These conclusions apply only to data with low beta diversity. Direct ordination multidimensional scaling Ordination comparisons Polar ordination Principal components analysis Reciprocal averaging Enthalten in Vegetatio Kluwer Academic Publishers, 1948 42(1980), 1-3 vom: Okt., Seite 75-84 (DE-627)129466557 (DE-600)201543-2 (DE-576)014832917 0042-3106 nnns volume:42 year:1980 number:1-3 month:10 pages:75-84 https://doi.org/10.1007/BF00048873 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-TEC SSG-OLC-FOR SSG-OPC-FOR GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_130 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2015 GBV_ILN_2173 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4082 GBV_ILN_4155 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4311 GBV_ILN_4323 GBV_ILN_4325 GBV_ILN_4330 AR 42 1980 1-3 10 75-84 |
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10.1007/BF00048873 doi (DE-627)OLC208423915X (DE-He213)BF00048873-p DE-627 ger DE-627 rakwb eng 580 VZ 12 ssgn BIODIV DE-30 fid Del Moral, Roger verfasserin aut On selecting indirect ordination methods 1980 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Dr. W. Junk b.v. Publishers 1980 Summary A set of forty stands from an alpine fell-field in the Washington Cascades was used to test these ordination methods: polar ordination, principal components analysis, reciprocal averaging, and multidimensional scalings. Because no object ‘true’ ordination can be known for such data, a series of evaluative methods were employed to characterize each method. These criteria included the rank correlation to a direct ordination based on habitat data, the degree of distortion, skewness, and disjunction revealed, the ability to separate stands, the efficiency of species ordinations, ease of interpretation, objectivity, and how well the method recovers a classification of the same data. Based on these criteria, reciprocal averaging performs best, with principal components analysis and multidimensional scaling not much worse. Most polar ordinations produce significant disjunctions and fail to separate stands well in one or more dimensions. Both of these properties result from the selection of partially disjunct stands as end points. These conclusions apply only to data with low beta diversity. Direct ordination multidimensional scaling Ordination comparisons Polar ordination Principal components analysis Reciprocal averaging Enthalten in Vegetatio Kluwer Academic Publishers, 1948 42(1980), 1-3 vom: Okt., Seite 75-84 (DE-627)129466557 (DE-600)201543-2 (DE-576)014832917 0042-3106 nnns volume:42 year:1980 number:1-3 month:10 pages:75-84 https://doi.org/10.1007/BF00048873 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-TEC SSG-OLC-FOR SSG-OPC-FOR GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_130 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2015 GBV_ILN_2173 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4082 GBV_ILN_4155 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4311 GBV_ILN_4323 GBV_ILN_4325 GBV_ILN_4330 AR 42 1980 1-3 10 75-84 |
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10.1007/BF00048873 doi (DE-627)OLC208423915X (DE-He213)BF00048873-p DE-627 ger DE-627 rakwb eng 580 VZ 12 ssgn BIODIV DE-30 fid Del Moral, Roger verfasserin aut On selecting indirect ordination methods 1980 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Dr. W. Junk b.v. Publishers 1980 Summary A set of forty stands from an alpine fell-field in the Washington Cascades was used to test these ordination methods: polar ordination, principal components analysis, reciprocal averaging, and multidimensional scalings. Because no object ‘true’ ordination can be known for such data, a series of evaluative methods were employed to characterize each method. These criteria included the rank correlation to a direct ordination based on habitat data, the degree of distortion, skewness, and disjunction revealed, the ability to separate stands, the efficiency of species ordinations, ease of interpretation, objectivity, and how well the method recovers a classification of the same data. Based on these criteria, reciprocal averaging performs best, with principal components analysis and multidimensional scaling not much worse. Most polar ordinations produce significant disjunctions and fail to separate stands well in one or more dimensions. Both of these properties result from the selection of partially disjunct stands as end points. These conclusions apply only to data with low beta diversity. Direct ordination multidimensional scaling Ordination comparisons Polar ordination Principal components analysis Reciprocal averaging Enthalten in Vegetatio Kluwer Academic Publishers, 1948 42(1980), 1-3 vom: Okt., Seite 75-84 (DE-627)129466557 (DE-600)201543-2 (DE-576)014832917 0042-3106 nnns volume:42 year:1980 number:1-3 month:10 pages:75-84 https://doi.org/10.1007/BF00048873 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-TEC SSG-OLC-FOR SSG-OPC-FOR GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_130 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2015 GBV_ILN_2173 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4082 GBV_ILN_4155 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4311 GBV_ILN_4323 GBV_ILN_4325 GBV_ILN_4330 AR 42 1980 1-3 10 75-84 |
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10.1007/BF00048873 doi (DE-627)OLC208423915X (DE-He213)BF00048873-p DE-627 ger DE-627 rakwb eng 580 VZ 12 ssgn BIODIV DE-30 fid Del Moral, Roger verfasserin aut On selecting indirect ordination methods 1980 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Dr. W. Junk b.v. Publishers 1980 Summary A set of forty stands from an alpine fell-field in the Washington Cascades was used to test these ordination methods: polar ordination, principal components analysis, reciprocal averaging, and multidimensional scalings. Because no object ‘true’ ordination can be known for such data, a series of evaluative methods were employed to characterize each method. These criteria included the rank correlation to a direct ordination based on habitat data, the degree of distortion, skewness, and disjunction revealed, the ability to separate stands, the efficiency of species ordinations, ease of interpretation, objectivity, and how well the method recovers a classification of the same data. Based on these criteria, reciprocal averaging performs best, with principal components analysis and multidimensional scaling not much worse. Most polar ordinations produce significant disjunctions and fail to separate stands well in one or more dimensions. Both of these properties result from the selection of partially disjunct stands as end points. These conclusions apply only to data with low beta diversity. Direct ordination multidimensional scaling Ordination comparisons Polar ordination Principal components analysis Reciprocal averaging Enthalten in Vegetatio Kluwer Academic Publishers, 1948 42(1980), 1-3 vom: Okt., Seite 75-84 (DE-627)129466557 (DE-600)201543-2 (DE-576)014832917 0042-3106 nnns volume:42 year:1980 number:1-3 month:10 pages:75-84 https://doi.org/10.1007/BF00048873 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-TEC SSG-OLC-FOR SSG-OPC-FOR GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_130 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2015 GBV_ILN_2173 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4082 GBV_ILN_4155 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4311 GBV_ILN_4323 GBV_ILN_4325 GBV_ILN_4330 AR 42 1980 1-3 10 75-84 |
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10.1007/BF00048873 doi (DE-627)OLC208423915X (DE-He213)BF00048873-p DE-627 ger DE-627 rakwb eng 580 VZ 12 ssgn BIODIV DE-30 fid Del Moral, Roger verfasserin aut On selecting indirect ordination methods 1980 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Dr. W. Junk b.v. Publishers 1980 Summary A set of forty stands from an alpine fell-field in the Washington Cascades was used to test these ordination methods: polar ordination, principal components analysis, reciprocal averaging, and multidimensional scalings. Because no object ‘true’ ordination can be known for such data, a series of evaluative methods were employed to characterize each method. These criteria included the rank correlation to a direct ordination based on habitat data, the degree of distortion, skewness, and disjunction revealed, the ability to separate stands, the efficiency of species ordinations, ease of interpretation, objectivity, and how well the method recovers a classification of the same data. Based on these criteria, reciprocal averaging performs best, with principal components analysis and multidimensional scaling not much worse. Most polar ordinations produce significant disjunctions and fail to separate stands well in one or more dimensions. Both of these properties result from the selection of partially disjunct stands as end points. These conclusions apply only to data with low beta diversity. Direct ordination multidimensional scaling Ordination comparisons Polar ordination Principal components analysis Reciprocal averaging Enthalten in Vegetatio Kluwer Academic Publishers, 1948 42(1980), 1-3 vom: Okt., Seite 75-84 (DE-627)129466557 (DE-600)201543-2 (DE-576)014832917 0042-3106 nnns volume:42 year:1980 number:1-3 month:10 pages:75-84 https://doi.org/10.1007/BF00048873 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-UMW SSG-OLC-TEC SSG-OLC-FOR SSG-OPC-FOR GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_40 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_130 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2006 GBV_ILN_2009 GBV_ILN_2015 GBV_ILN_2173 GBV_ILN_4012 GBV_ILN_4028 GBV_ILN_4029 GBV_ILN_4035 GBV_ILN_4082 GBV_ILN_4155 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4311 GBV_ILN_4323 GBV_ILN_4325 GBV_ILN_4330 AR 42 1980 1-3 10 75-84 |
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580 VZ 12 ssgn BIODIV DE-30 fid On selecting indirect ordination methods Direct ordination multidimensional scaling Ordination comparisons Polar ordination Principal components analysis Reciprocal averaging |
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on selecting indirect ordination methods |
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Summary A set of forty stands from an alpine fell-field in the Washington Cascades was used to test these ordination methods: polar ordination, principal components analysis, reciprocal averaging, and multidimensional scalings. Because no object ‘true’ ordination can be known for such data, a series of evaluative methods were employed to characterize each method. These criteria included the rank correlation to a direct ordination based on habitat data, the degree of distortion, skewness, and disjunction revealed, the ability to separate stands, the efficiency of species ordinations, ease of interpretation, objectivity, and how well the method recovers a classification of the same data. Based on these criteria, reciprocal averaging performs best, with principal components analysis and multidimensional scaling not much worse. Most polar ordinations produce significant disjunctions and fail to separate stands well in one or more dimensions. Both of these properties result from the selection of partially disjunct stands as end points. These conclusions apply only to data with low beta diversity. © Dr. W. Junk b.v. Publishers 1980 |
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Summary A set of forty stands from an alpine fell-field in the Washington Cascades was used to test these ordination methods: polar ordination, principal components analysis, reciprocal averaging, and multidimensional scalings. Because no object ‘true’ ordination can be known for such data, a series of evaluative methods were employed to characterize each method. These criteria included the rank correlation to a direct ordination based on habitat data, the degree of distortion, skewness, and disjunction revealed, the ability to separate stands, the efficiency of species ordinations, ease of interpretation, objectivity, and how well the method recovers a classification of the same data. Based on these criteria, reciprocal averaging performs best, with principal components analysis and multidimensional scaling not much worse. Most polar ordinations produce significant disjunctions and fail to separate stands well in one or more dimensions. Both of these properties result from the selection of partially disjunct stands as end points. These conclusions apply only to data with low beta diversity. © Dr. W. Junk b.v. Publishers 1980 |
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Summary A set of forty stands from an alpine fell-field in the Washington Cascades was used to test these ordination methods: polar ordination, principal components analysis, reciprocal averaging, and multidimensional scalings. Because no object ‘true’ ordination can be known for such data, a series of evaluative methods were employed to characterize each method. These criteria included the rank correlation to a direct ordination based on habitat data, the degree of distortion, skewness, and disjunction revealed, the ability to separate stands, the efficiency of species ordinations, ease of interpretation, objectivity, and how well the method recovers a classification of the same data. Based on these criteria, reciprocal averaging performs best, with principal components analysis and multidimensional scaling not much worse. Most polar ordinations produce significant disjunctions and fail to separate stands well in one or more dimensions. Both of these properties result from the selection of partially disjunct stands as end points. These conclusions apply only to data with low beta diversity. © Dr. W. Junk b.v. Publishers 1980 |
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