Diversity Index Formulas:
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Diversity indices are quantitative measures that reflect how many different types (such as species) there are in a dataset, while simultaneously taking into account how evenly the basic entities (such as individuals) are distributed among those types.
The calculator provides two common diversity indices:
Where:
Explanation: Simpson index gives more weight to common species, while Shannon index gives more weight to rare species.
Details: Diversity indices are crucial in ecology for assessing ecosystem health, in business for measuring market competition, and in information science for analyzing data complexity.
Tips: Enter counts of individuals for each species/type separated by commas (e.g., "5,10,15"). Select the index type you want to calculate.
Q1: What's the difference between Simpson and Shannon indices?
A: Simpson index (range 0-1) emphasizes dominant species, while Shannon index (typically 1.5-3.5) is more sensitive to species richness.
Q2: What do the values mean?
A: Higher values indicate greater diversity. Simpson near 1 or Shannon >3 indicates high diversity.
Q3: When should I use which index?
A: Use Simpson when dominant species are important; Shannon when rare species matter more.
Q4: Are there limitations to these indices?
A: They don't account for species identity or ecological function, just abundance distribution.
Q5: Can I use this for non-ecological data?
A: Yes! These indices work for any categorical data where you can count occurrences.