Detrended correspondence analysis
Detrended correspondence analysis (DCA) is a multivariate statistical technique widely used by ecologists to find the main factors or gradients in large, species-rich but usually sparse data matrices that typify ecological community data. DCA is frequently used to suppress artifacts inherent in most other multivariate analyses when applied to gradient data.
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Detrended correspondence analysis
Detrended correspondence analysis (DCA) is a multivariate statistical technique widely used by ecologists to find the main factors or gradients in large, species-rich but usually sparse data matrices that typify ecological community data. DCA is frequently used to suppress artifacts inherent in most other multivariate analyses when applied to gradient data.
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Detrended correspondence analy ...... when applied to gradient data.
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Detrended correspondence analy ...... ntwikkeld door C.J. ter Braak.
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Detrended correspondence analy ...... when applied to gradient data.
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Detrended correspondence analy ...... ntwikkeld door C.J. ter Braak.
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Detrended correspondence analysis
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Detrended correspondence analysis
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