Ecology Jaccard community overlap calculator

Calculate jaccard similarity and jaccard dissimilarity with your own figures.

Your numbers

Use the units shown. Results update as you change valid inputs.

Use jaccard similarity and jaccard dissimilarity to compare changes to your inputs. The method and limits below explain the scope.

Examples

Examples

Try the starting example

Community A species IDs comma separated
oak,pine,birch
Community B species IDs comma separated
pine,birch,maple
Jaccard similarity
0.5
Jaccard dissimilarity
0.5
Shared species count
2

Try another scenario

Community A species IDs comma separated
oak,pine,birch
Community B species IDs comma separated
oak,pine,birch,maple
Jaccard similarity
0.75
Jaccard dissimilarity
0.25
Shared species count
3
Calculation method

Calculation method

Jaccard similarity

Distinct shared species / distinct union species.

Jaccard dissimilarity

1−similarity.

Shared species count

Size of species intersection; duplicates collapse.

Symbols and units
a
Community A species IDs comma separated
b
Community B species IDs comma separated

Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.

Assumptions & limits

Assumptions & limits

  • Species presence lists. Returns Similarity and dissimilarity. All coefficients and observations are user supplied; results describe only the stated mathematical model. Quantities are deterministic calculations from supplied observations and assumptions; no external data is fetched. Supported limits: Finite inputs only; numeric fields bounded as labelled. Lists and JSON records are limited to 256 entries unless a stricter tool bound is stated. No automatic design approval, legal conclusion, treatment recommendation or safety certification.
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These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.

Further reading

Method reference ↗

Background reading; this does not imply endorsement or independent review of SumFizz.

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