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neon-biodiversity

Ostats: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 speciesโ€™ 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) <doi:10.1111/ecog.03641>, 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>.

Maintained by Quentin D. Read. Last updated 4 months ago.

ecology

8.9 match 7 stars 6.69 score 28 scripts

cran

cluster.datasets:Cluster Analysis Data Sets

A collection of data sets for teaching cluster analysis.

Maintained by Frederick Novomestky. Last updated 11 years ago.

7.5 match 2.00 score

nschiett

fishualize:Color Palettes Based on Fish Species

Implementation of color palettes based on fish species.

Maintained by Nina M. D. Schiettekatte. Last updated 11 months ago.

1.1 match 155 stars 8.54 score 370 scripts