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关 键 词：PC-ORD使用
行 业：IT 软件 教学管理软件
发布时间：2021-09-18
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Mantel Test
The Mantel test evaluates the null hypothesis of no relationship between two dissimilarity (distance) or similarity matrices. The Mantel test is an alternative to regressing distance matrices that circumvents the problem of partial dependence in these matrices. Example applications are: evaluating the correspondence between two groups of organisms from the same set of sample units or comparing community structure before and after a disturbance. Two methods are available in PC-ORD: Mantel’s asymptotic approximation and a randomization (Monte Carlo) method.
Two-way Cluster Analysis
The purpose of our two-way clustering (also known as biclustering) is to graphically expose the relationship between cluster analyses and your individual data points. The resulting graph makes it easy to see similarities and differences between rows in the same group, rows in different groups, columns in the same group, and columns in different groups. You can see graphically how groups of rows and columns relate to each other. Two-way clustering refers to doing a cluster analysis on both the rows and columns of your matrix, followed by graphing the two dendrograms simultaneously, adjacent to a representation of your main matrix. Rows and columns of your main matrix are re-ordered to
Fuzzy Set (FSO)
Fuzzy set ordination applies fuzzy set theory to direct gradient analysis in ecological ordination. This ordination method requires the user to hypothesize the relationship between species communities and environmental variables or other predictors. The predictors are most commonly environmental variables, but they can also be a secondary set of species communities, or any other quantitative data set with the same number of rows as the community matrix. The community data are placed in the main matrix, and the secondary set is in the second matrix. The resulting ordination is an ordination of sample units in species space. Species can be superimposed on the ordination by a single weighted averaging step
* Species traits Integrated trait matrix operations and overlays for traits
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