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- Detrended_correspondence_analysis abstract "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. For example, Hill and Gauch (1980, p. 55) analyse the data of a vegetation survey of southeast England including 876 species in 3270 relevés. After eliminating outliers, DCA is able to identify two main axes: The first axis goes from dry to wet conditions, and the second axis from woodland to weed communities.".
- Detrended_correspondence_analysis wikiPageExternalLink vegan.
- Detrended_correspondence_analysis wikiPageExternalLink past.
- Detrended_correspondence_analysis wikiPageExternalLink ~al001.
- Detrended_correspondence_analysis wikiPageID "18379199".
- Detrended_correspondence_analysis wikiPageRevisionID "546785443".
- Detrended_correspondence_analysis hasPhotoCollection Detrended_correspondence_analysis.
- Detrended_correspondence_analysis subject Category:Multivariate_statistics.
- Detrended_correspondence_analysis comment "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. For example, Hill and Gauch (1980, p. 55) analyse the data of a vegetation survey of southeast England including 876 species in 3270 relevés.".
- Detrended_correspondence_analysis label "Detrended correspondence analysis".
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- Detrended_correspondence_analysis sameAs Q5265809.
- Detrended_correspondence_analysis sameAs Q5265809.
- Detrended_correspondence_analysis wasDerivedFrom Detrended_correspondence_analysis?oldid=546785443.
- Detrended_correspondence_analysis isPrimaryTopicOf Detrended_correspondence_analysis.