Sequential Renyi's diversity index — RenyiS • rasterdiv

This function calculates the Renyi's diversity index index for each cell in a matrix, considering a specified moving window around each cell.

Usage

RenyiS(
  x,
  window = 1,
  alpha = 1,
  base = exp(1),
  na.tolerance = 1,
  debugging = FALSE
)

x: A numeric matrix representing the data on which the index is to be calculated.
window: The width of the moving window to consider for each cell. The actual window size will be `(2 * window + 1) x (2 * window + 1)`. Default is 1.
alpha: (Not used in this function, included for compatibility) The alpha parameter for diversity indices, default is 1.
base: The base of the logarithm used in the Shannon formula, default is `exp(1)` (natural logarithm).
na.tolerance: The tolerance level for missing data within the moving window. A window will be processed only if the proportion of non-missing data is above this threshold. Value should be between 0 and 1. Default is 1.
debugging: Boolean flag to enable or disable debugging messages. Default is FALSE.

A matrix of the same dimensions as `x`, where each cell contains the Renyi's diversity index calculated for the window around the cell.

Berger-Parker's diversity index calculated sequentially over a raster matrix.

data <- matrix(runif(100), nrow = 10)
renyi_index <- RenyiS(data, window = 1)
#> 
#> 
#> Processing alpha: 1 Moving Window: 3