Diversity Measures

This app allows allows to compute several diversity measures from a count table (absolute frequencies giving the number of individuals for each category, i.e. a contingency table).

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY.

If you use this application in your research, you must report and cite it properly to ensure transparency of your results. Moreover, authors and maintainers of this project are more likely to continue their work if they see that it's being used and valued by the research community.

To cite in your publications, please use:

Frerebeau N (2024). “The tesselle Project: a Collection of R Packages for Research and Teaching in Archaeology.” Advances in Archaeological Practice. doi:10.1017/aap.2024.10 https://doi.org/10.1017/aap.2024.10.

Frerebeau N (2019). “tabula: An R Package for Analysis, Seriation, and Visualization of Archaeological Count Data.” Journal of Open Source Software, 4(44). doi:10.21105/joss.01821 https://doi.org/10.21105/joss.01821.

You can save the state of the application and get a URL which will restore the application with that state. You can then copy the URL and save it for later, or share it with others so they can visit the application in the bookmarked state.

This is not intended for long-term storage. There is no guarantee as to how long your bookmark will last.

Bookmarking is currently disabled.

Dimensions

Sparsity

Missing values

Export your data for futur use. Download
Heterogeneity index
The higher the heterogeneity value, the more diverse the individuals are in the dataset.
Shannon (1948)
The Shannon index assumes that individuals are randomly sampled from an infinite population and that all types are represented in the sample. It combine both richness and evenness to provide an overall measure of diversity in a given sample.
Brillouin (1956)
The Brillouin index describes a known collection: it does not assume random sampling in an infinite population.
Dominance index
Dominance is a measure of whether a community is dominated by certain types (an increase in the value means a decrease in diversity).
Simpson (1949)
The Simpson dominance provides an indication of the probability that two randomly chosen individuals belong to the same type.
Berger-Parker (1970)
The Berger-Parker index expresses the proportional importance of the most abundant type. This metric is highly biased by sample size and richness.
Richness index
Richness quantifies how many different types the dataset of interest contains, it does not take into account the abundances of the types.
Menhinick (1964)
The Menhinick index normalizes the species richness by the community size.
Margalef (1958)
Chao 1 (Chao, 1984)
An estimate of total species richness.
ACE (Chao & Lee, 1992)
Abundance-based Coverage Estimator.
Squares Estimator (Alroy, 2018)
Dissimilarity
PCoA