Sequential Berger-Parker's diversity index — BergerParkerS • rasterdiv

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

Usage

BergerParkerS(x, window = 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.
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 Berger-Parker'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)
bp_index <- BergerParkerS(data, window = 1)
#> 
#> 
#> Processing moving Window: 3