Edward Beals (1984) wrote a scathing critique of ecologists who undersold polar ordination. DCA and CCA, and 2) the endpoint selection techniqes for axes can be arbitrary (more on this later). While polar ordination seems to work reasonably well for recovering community patterns, it has recently been very difficult to publish papers using this technique for two reasons: 1) it has been judged 'outmoded' compared to more recently developed matrix decompostion methods, i.e. Curtis developed this method with the Canadian ecologist James Bray in the early 50s. The method is strongly favored by ecologists from the University of Wisconsin (probably because this is the school John Curtis graduated from and taught at). The Bray-Curtis method is a relatively easy to understand ordination procedure that is also known as polar ordination because it arranges points in reference to endpoints or poles. Allows one to see the residual distance matrices. using the sites which are furthest apart), the PC-ORD original method 'PC_ORD.original' (the first endpoint has the highest sum o Logical. endpoint Endpoint selection is accomplished using either the Bray-Curtis original 'BC.original' method (i.e. index The dissimilarity or distance measure to be used. Keywords multivariate Usage Arguments data A multivariate dataset, e.g. The function currently creates two or three dimensional Bray-Curtis (polar) ordinations.
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