Renyi {rasterdiv}

Renyi Diversity Index Calculation

Description

Computes Renyi diversity index for a given raster object. This function allows specifying window size, alpha values, and various other parameters for the calculation of the Renyi index.

Usage

Renyi(
  x,
  window = 3,
  alpha = 1,
  base = exp(1),
  rasterOut = TRUE,
  np = 1,
  na.tolerance = 1,
  cluster.type = "SOCK",
  debugging = FALSE
)

Arguments

x

A raster object which can be a matrix, SpatialGridDataFrame, SpatRaster, list, or RasterStack.

window

The size of the moving window; must be an odd integer.

alpha

A numeric vector of alpha values for the Renyi index.

base

The logarithm base for the calculation, default is natural logarithm.

rasterOut

Logical; if TRUE, returns a SpatRaster object, otherwise returns a list.

np

Number of processes for parallel computation.

na.tolerance

Tolerance level for NA values, must be within [0-1].

cluster.type

Type of cluster for parallel computation, either "SOCK" or "MPI".

debugging

Logical; if TRUE, provides additional console output for debugging.

Value

A SpatRaster object or a list of calculated Renyi indices.

Examples

## Not run: 
result <- Renyi(ndvi.8bit, window = 3, alpha = c(0, 1, 2))

## End(Not run)