雅卡索引
数学
多样性指数
度量(数据仓库)
熵(时间箭头)
统计
生态学
索引(排版)
广义熵指数
转化(遗传学)
生物
计算机科学
聚类分析
数据挖掘
物理
物种丰富度
生物化学
量子力学
万维网
基因
出处
期刊:Oikos
[Wiley]
日期:2006-02-23
卷期号:113 (2): 363-375
被引量:4261
标识
DOI:10.1111/j.2006.0030-1299.14714.x
摘要
Entropies such as the Shannon–Wiener and Gini–Simpson indices are not themselves diversities. Conversion of these to effective number of species is the key to a unified and intuitive interpretation of diversity. Effective numbers of species derived from standard diversity indices share a common set of intuitive mathematical properties and behave as one would expect of a diversity, while raw indices do not. Contrary to Keylock, the lack of concavity of effective numbers of species is irrelevant as long as they are used as transformations of concave alpha, beta, and gamma entropies. The practical importance of this transformation is demonstrated by applying it to a popular community similarity measure based on raw diversity indices or entropies. The standard similarity measure based on untransformed indices is shown to give misleading results, but transforming the indices or entropies to effective numbers of species produces a stable, easily interpreted, sensitive general similarity measure. General overlap measures derived from this transformed similarity measure yield the Jaccard index, Sørensen index, Horn index of overlap, and the Morisita–Horn index as special cases.
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