Difference between revisions of "Concentration Index versus Diversity Index"
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Concentration Index versus Diversity Index
Concentration indexes and diversity indexes are related families of metrics that aim to assess the prevalence of some category within a broader set.
Discrete versus Continuous data sets
The main different between a concentration index and a diversity index is in the nature of the statistical observations that are used as input data for the index calculation. There are two possible starting points for input data:
- The population attributes used as observations are discrete (See Categorical Variable)
- Observations are numerical (See Numerical Variable), typically continuous and summable
Examples
- Discrete: For example is the proportion of individuals in a population with total count N that belongs to Category i. A number of indexes used in diversity studies (Abundance, Richness, Margalev's, Menhinick’s diversity indexes) are based on such species counts.
- Numerical For example is a range of observations of some continuous quantity E such as risk Exposure or income. Such data will typically converted into weights