BergerParkerS: Sequential Berger-Parker's diversity index

In rasterdiv: Diversity Indices for Numerical Matrices

Sequential Berger-Parker's diversity index

Description

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)

Arguments

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.

Details

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

Value

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.

Examples

data <- matrix(runif(100), nrow = 10)
bp_index <- BergerParkerS(data, window = 1)

rasterdiv documentation built on Oct. 14, 2024, 5:10 p.m.