O-Stats, or Pairwise Community-Level Niche Overlap Statistics

O-statistics, or overlap statistics, measure the degree of community-level trait overlap. They are estimated by fitting nonparametric kernel density functions to each species’ trait distribution and calculating their areas of overlap. For instance, the median pairwise overlap for a community is calculated by first determining the overlap of each species pair in trait space, and then taking the median overlap of each species pair in a community. This median overlap value is called the O-statistic (O for overlap). The Ostats() function calculates separate univariate overlap statistics for each trait, while the Ostats_multivariate() function calculates a single multivariate overlap statistic for all traits. O-statistics can be evaluated against null models to obtain standardized effect sizes. Ostats is part of the collaborative Macrosystems Biodiversity Project "Local- to continental-scale drivers of biodiversity across the National Ecological Observatory Network (NEON)." For more information on this project, see the Macrosystems Biodiversity Website (< https://neon-biodiversity.github.io/>). Calculation of O-statistics is described in Read et al. (2018) , and a teaching module for introducing the underlying biological concepts at an undergraduate level is described in Grady et al. (2018) < http://tiee.esa.org/vol/v14/issues/figure_sets/grady/abstract.html>.


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install.packages("Ostats")

0.1.0 by Quentin D. Read, 2 months ago


Report a bug at https://github.com/NEON-biodiversity/Ostats/issues


Browse source code at https://github.com/cran/Ostats


Authors: Quentin D. Read [aut, cre] , Arya Yue [aut] , Isadora E. Fluck [aut] , Benjamin Baiser [aut] , John M. Grady [aut] , Phoebe L. Zarnetske [aut] , Sydne Record [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports sfsmisc, matrixStats, circular, hypervolume, ggplot2, gridExtra, viridis, grid, MASS

Suggests testthat, knitr, rmarkdown


See at CRAN