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原产地美国
介质下载
适用平台Windows
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Phi Coefficient for Indicator Species
Tichý and Chytrý's (2006) phi coefficient is a method for evaluating the indicator value (or diagnostic value) of a species with respect to a one-way grouping of sample units. It applies only to presence-absence data. If have quantitative data you choose this option in the Indicator Species Analysis Setup, then the data are automatically converted to presence-absence. Any value greater than zero is transformed to 1, while values less than or equal to zero are transformed to zero. Tichý and Chytrý's method corrects for unequal sample sizes among groups. The adjusted phi coefficient also allows comparisons across studies with different sample sizes.
其他已有的分析方法
Gower Distance
Gower（1971a）系数在相似性或相度量中是非常不寻常的，因为它可以基于定性（分类）数据、定量数据或两者的混合物来计算。分类数据作为匹配问题来处理：共享定性属性的项从该属性接收相似性单元。参看Legendre和Legendre（1998）对这个方法的详细描述。
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
Ordination graphics Hilltop plots for multiple nonlinear overlays, kernel smoother contouring with optimized or user-controlled smoothing parameter, successional vectors overlay
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