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TPD (version 1.1.0)

Methods for Measuring Functional Diversity Based on Trait Probability Density

Description

Tools to calculate trait probability density functions (TPD) at any scale (e.g. populations, species, communities). TPD functions are used to compute several indices of functional diversity, as well as its partition across scales. These indices constitute a unified framework that incorporates the underlying probabilistic nature of trait distributions into uni- or multidimensional functional trait-based studies. See Carmona et al. (2016) for further information.

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Version

Install

install.packages('TPD')

Monthly Downloads

246

Version

1.1.0

License

GPL-3

Maintainer

Carlos Carmona

Last Published

July 2nd, 2019

Functions in TPD (1.1.0)

TPD

TPD: Functional Diversity based on Trait Probability Density
TPDc

Trait Probability Density of Communities
redundancy

Functional Redundancy of Communities
tSamp

Trait Values Sampling
uniqueness

Functional Uniqueness of Ecological Units
REND

Functional Evenness, Richness and Divergence of Communities, Species or Populations
Rao

Rao's Quadratic Entropy and its Partition
dissim

Overlap-Based Functional Dissimilarity and its Decomposition
plotTPD

Plotting Trait Probability Distributions
TPDsMean

Creating TPDs without individual observations
TPDs

Trait Probability Density of Populations