R: Parallelized Parametric Rao's index of quadratic entropy (Q)

paRaoP {rasterdiv}

R Documentation

Parallelized Parametric Rao's index of quadratic entropy (Q)

Description

This function computes the parametric Rao's index of quadratic entropy (Q), a measure of biodiversity that considers the evolutionary distances between species, utilizing parallel computing for enhanced performance. The computation is applied over a moving window across the input data.

Usage

paRaoP(
  x,
  alpha,
  window,
  dist_m,
  na.tolerance,
  diag,
  debugging,
  isfloat,
  mfactor,
  np
)

Arguments

`x`	Matrix or data frame; the input data over which the index calculation is performed.
`alpha`	Numeric; specifies the alpha value for the order of diversity in Hill's Index.
`window`	Numeric; half of the side length of the square moving window used in the calculation.
`dist_m`	Character; specifies the type of distance metric used in calculations.
`na.tolerance`	Numeric; the threshold proportion of NA values allowed in the moving window. If exceeded, the calculation for that window is skipped. Values range from 0.0 (no tolerance) to 1.0.
`diag`	Logical; indicates whether the diagonal of the distance matrix should be included in the computation. Typically set to FALSE.
`debugging`	Logical; set to FALSE by default. If TRUE, additional console messages will be displayed for debugging purposes.
`isfloat`	Logical; indicates whether the input data values are floating-point numbers.
`mfactor`	Integer; multiplication factor in case of input data as float numbers.
`np`	Number of processes for parallel computation.

Value

A list of matrices corresponding to the computed Rao's index values. Each matrix in the list represents the calculations performed over the moving window, with dimensions equal to dim(x).

Author(s)