Entropy / Diversity / Model

Shannon Diversity Index

An interactive tool to understand the concept of biodiversity through the Shannon Diversity Index. Adjust species populations and observe how diversity and evenness change in real-time.

H'1.099
Evenness1.000
Total45
Shannon Index1.099

Uncertainty calculated from each species proportion pᵢ. It responds to both richness and evenness.

Evenness1.000
Max H'1.099
Active species3
Effective species3.00
pᵢ = nᵢ / NH' = -Σ pᵢ ln(pᵢ)J' = H' / ln(S)¹D = exp(H')
Contribution to H'

-pᵢ ln(pᵢ) by species

Composition

100 cells = the full sample

A33.3%
B33.3%
C33.3%
Terms by species

The values that compose the index

Speciesnᵢpᵢ-pᵢ ln(pᵢ)
A150.3330.366
B150.3330.366
C150.3330.366

Academic Context

From uncertainty in information to composition in ecosystems and cities.

01 / Information Theory

It begins as uncertainty in communication

Shannon entropy was introduced to measure how uncertain the next symbol in a message is. A concentrated distribution has low uncertainty; an even distribution has high uncertainty.

02 / Ecology

Ecology uses it to read richness and evenness

In ecological communities, symbols become species and probabilities become relative abundances pᵢ. H' responds to both the number of species and how evenly individuals are distributed.

03 / Current Uses

Today it travels as a measure of compositional balance

It appears in microbiome studies, conservation ecology, land-use analysis, urban functions, and cultural or industrial category mixes. The index describes uncertainty in a distribution, not area or spatial arrangement.

Reading note

H' is an entropy value, so it is not directly the number of species. For an intuitive diversity reading, convert it to the Hill number q=1: ¹D = exp(H'), the effective number of equally common species.

Shannon Diversity Index Calculator & Visualizer

Reading diversity as a distribution, not a formula.

Keywords

Diversity Visualization / Information Theory / Urban Development

Background

Based on the concept of entropy proposed by Claude Shannon, the father of information theory, the Shannon Diversity Index is now used in various fields such as ecology, environmental assessment, microbiology, sociology, economics, business, and urban development. This tool was created to facilitate visual and interactive understanding of the index.

Objective

The objective is to deepen understanding of existing applications and open up possibilities for further use in new fields.