Titlebook: Classification and Ordination; Symposium on advance Eddy Maarel Book 1980 Dr. W. Junk bv Publishers, The Hague 1980 Ordination.classificati

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Evaluation of Ordination Methods Through Simulated Coenoclines: Some Comments,ith this topic could be mentioned. It should however be satisfactory to refer to the general survey by Dale (1975). He distinguished two main approaches in ordination (cf. also Beals 1973): One is associated with pattern recognition and pattern analysis (ordination sensu lato, Noy-Meir & Whittaker 1

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On the Interpretability of Ordination Diagrams,lóci 1974b, 1978), i.e. ‘horseshoe’, (‘arch’) effects in ordination diagrams of axes 1 and 2. Such effects are now generally recognized as the result of curvilinearities intrinsic to community data i.e. (1) the bellshaped species response curves along environmental gradients and (2) the nonlinear de

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Detrended Correspondence Analysis: An Improved Ordination Technique,arth 1977, Noy-Meir & Whittaker 1977, Orlóci 1978, Gauch, Whittaker & Singer 1979) have found faults with all ordination techniques currently in use, at least when applied to ecological data specifying the occurrences of species in community samples. These faults certainly do not make existing techn

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Non-Centred Component Analysis of Vegetation Data: A Comparison of Orthogonal and Oblique Rotation,e simpler form. This objective may be achieved through the use of a direct analysis or a derived solution in which direct factor methods play an initial role (Harman 1976). Of the direct methods, principal component analysis (PCA) has received most attention in vegetation study (Goodall 1954, Orlóci

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Some Applications of Principal Components Analysis in Vegetation: Ecological Research of Aquatic Coderstandings that have been linked to the application of PCA and the interpretation of its results. It can be concluded that with certain options such as data transformation, standardization of variables, different similarity measures, and axis rotation, PCA is ecologically appropriate. Nichols (197

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The Minimisation of Random Events in the Search for Group Structure,ern, the distribution of naturally occurring vegetation will always incorporate a random element. It is evident that the recognition and exclusion of this random component will increase the clarity with which pattern can be demonstrated. Species ranking techniques have commonly been used to identify