On selecting indirect ordination methods

Vegetatio ◽  
1980 ◽  
Vol 42 (1-3) ◽  
pp. 75-84 ◽  
Author(s):  
Roger Moral



Hydrobiologia ◽  
1996 ◽  
Vol 317 (3) ◽  
pp. 231-245 ◽  
Author(s):  
Bruno Guinand ◽  
Jeanne-Marie Ivol ◽  
Henri Tachet


2008 ◽  
Vol 75 (1) ◽  
pp. 55-63 ◽  
Author(s):  
S.W. Culman ◽  
H.G. Gauch ◽  
C.B. Blackwood ◽  
J.E. Thies


Vegetatio ◽  
1983 ◽  
Vol 51 (3) ◽  
pp. 141-155 ◽  
Author(s):  
T. F. H. Allen ◽  
H. H. Shugart


Vegetatio ◽  
1980 ◽  
Vol 42 (1-3) ◽  
pp. 35-41 ◽  
Author(s):  
Enrico Feoli ◽  
Laura Feoli Chiapella
Keyword(s):  


2021 ◽  
Author(s):  
Gordana C. Popovic ◽  
Francis K.C. Hui ◽  
David I. Warton

Visualising data is a vital part of analysis, allowing researchers to find patterns, and assess and communicate the results of statistical modeling. In ecology, visualisation is often challenging when there are many variables (often for different species or other taxonomic groups) and they are not normally distributed (often counts or presence-absence data). Ordination is a common and powerful way to overcome this hurdle by reducing data from many response variables to just two or three, to be easily plotted. Ordination is traditionally done using dissimilarity-based methods, most commonly non-metric multidimensional scaling (nMDS). In the last decade however, model-based methods for unconstrained ordination have gained popularity. These are primarily based on latent variable models, with latent variables estimating the underlying, unobserved ecological gradients. Despite some major benefits, a major drawback of model-based ordination methods is their speed, as they typically taking much longer to return a result than dissimilarity-based methods, especially for large sample sizes. We introduce copula ordination, a new, scalable model-based approach to unconstrained ordination. This method has all the desirable properties of model-based ordination methods, with the added advantage that it is computationally far more efficient. In particular, simulations show copula ordination is an order of magnitude faster than current model-based methods, and can even be faster than nMDS for large sample sizes, while being able to produce similar ordination plots and trends as these methods.



2012 ◽  
Vol 71 (1) ◽  
pp. 31-50 ◽  
Author(s):  
Attila Lengyel ◽  
Dragica Purger ◽  
János Csiky

Classification of mesic grasslands and their transitions of South Transdanubia (Hungary) Relevés from meadows and pastures of South Transdanubia (Hungary) are evaluated by clustering and ordination methods. The relevé selection focused on the Arrhenatheretalia order but its transitions towards other types were also included. The groups of relevés are delimited and described according to differential, dominant and constant species. Ecological conditions of the groups were compared using indicator values. Nine groups were distinguished, four of them belonging strictly to the order Arrhenatheretalia. Each alliance of Arrhenatheretalia presented in the study area (Cynosurion, Arrhenatherion) was represented by two groups. Groups from these two alliances are separated along a light gradient, while groups of the same alliance differ in nutrient values. Within Cynosurion, the nutrient-poor group cannot be identified unambiguously as any syntaxa previously known from Hungary. The nutrient-rich Cynosurion meadows are similar to Lolio-Cynosuretum, however, they show a stronger relationship with wet meadows. Within Arrhenatherion, Pastinaco-Arrhenatheretum is recognised as a hay meadow of nutrient-rich soils. The other meadow type is similar to Filipendulo-Arrhenatheretum, thus raising syntaxonomical problems. There are transitional groups towards semi-dry andwet meadows, one dynamic phase and one outlier group among the other five clusters.



2016 ◽  
Vol 31 (2) ◽  
pp. 159-164
Author(s):  
Edin Dolicanin ◽  
Irfan Fetahovic ◽  
Djordje Lazarevic ◽  
Nenad Kartalovic

In this paper we analyze application of contemporary methods of insulation co-ordination and the enlargement law in designing a GM counting tube. It has been shown that by applying insulation co-ordination methods the counting tube can be optimally dimensioned. The application of the enlargement law was demonstrated in generalizing the results of test obtained by the GM tube to those obtained by the counting tube with m-times greater dimensions. The investigations were conducted both theoretically and by experiment. Using theoretical analysis, we derived the expressions that may be applied if a performance function of a random variable breakdown voltage is known. The experiments were conducted on a GM counter model under well controlled laboratory conditions.



2019 ◽  
Vol 253 ◽  
pp. 113510 ◽  
Author(s):  
Yang Wang ◽  
Kexing Lai ◽  
Fengyun Chen ◽  
Zhengming Li ◽  
Chunhua Hu


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