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  2. Diversity index - Wikipedia

    en.wikipedia.org/wiki/Diversity_index

    A diversity index is a method of measuring how many different types (e.g. species) there are in a dataset (e.g. a community).Diversity indices are statistical representations of different aspects of biodiversity (e.g. richness, evenness, and dominance), which are useful simplifications for comparing different communities or sites.

  3. Measurement of biodiversity - Wikipedia

    en.wikipedia.org/wiki/Measurement_of_biodiversity

    There are many ways to measure biodiversity within a given ecosystem. However, the two most popular are Shannon-Weaver diversity index, [4] commonly referred to as Shannon diversity index, and the other is Simpsons diversity index. [5] Although many scientists prefer to use Shannon's diversity index simply because it takes into account species ...

  4. Species evenness - Wikipedia

    en.wikipedia.org/wiki/Species_evenness

    The Shannon index is the most commonly used way to quantitatively determine species diversity, H, as modeled by the following equation: = = ⁡ The Shannon index factors in both species evenness and species richness, as represented by the variables p i and s, respectively. The lowest possible value of H is zero, and the higher a community’s H ...

  5. Species diversity - Wikipedia

    en.wikipedia.org/wiki/Species_diversity

    Species diversity is the number of different species that are represented in a given community (a dataset). The effective number of species refers to the number of equally abundant species needed to obtain the same mean proportional species abundance as that observed in the dataset of interest (where all species may not be equally abundant).

  6. Qualitative variation - Wikipedia

    en.wikipedia.org/wiki/Qualitative_variation

    ShannonWiener index ... where N is the total sample size. This index has the advantage of expressing the observed diversity as a proportion of the absolute maximum ...

  7. Entropy (information theory) - Wikipedia

    en.wikipedia.org/wiki/Entropy_(information_theory)

    The concept of information entropy was introduced by Claude Shannon in his 1948 paper "A Mathematical Theory of Communication", [2] [3] and is also referred to as Shannon entropy. Shannon's theory defines a data communication system composed of three elements: a source of data, a communication channel, and a receiver. The "fundamental problem ...

  8. Talk:Shannon index - Wikipedia

    en.wikipedia.org/wiki/Talk:Shannon_index

    The source for this is a 1989 work by Charles J. Krebs. In a newer work, however (CJ Krebs. Ecology: the experimental analysis of distribution and abundance, 5th edition. p617-618), the same author calls the index the Shannon-Wiener index. Is there other information that could be used to find the "correct" name for the index, if one exists?

  9. Category:Graph invariants - Wikipedia

    en.wikipedia.org/wiki/Category:Graph_invariants

    Examples include the number of vertices and the number of edges. ... Shannon capacity of a graph; Size (graph theory) ... Wiener index This page was last ...