Provides methods to calculate diversity indices on numerical matrices
    based on information theory, as described in Rocchini, Marcantonio and Ricotta (2017) <doi:10.1016/j.ecolind.2016.07.039>,
    and Rocchini et al. (2021) <doi:10.1101/2021.01.23.427872>.

Fast alternatives to several relatively slow 'raster' package
  functions. For large rasters, the functions run from 5 to
  approximately 100 times faster than the 'raster' package functions
  they replace. The 'fasterize' package, on which one function in this
  package depends, includes an implementation of the scan line
  algorithm attributed to Wylie et al. (1967)
  <doi:10.1145/1465611.1465619>.

This is a wrapper function for image(), which makes reasonable
    raster plots with nice axis and other useful features.

Provides R functions to selectively rasterize components
             of 'grid' output.

Performs kernel based estimates on in-memory raster images 
  from the raster package.  These kernel estimates include local means
  variances, modes, and quantiles.  All results are in the form of 
  raster images, preserving original resolution and projection attributes.

A S4 class has been created such that complex operations can be
    executed on each cell of a raster map. The raster of objects contains a raster map with the addition of a list of generic objects: one
    object for each raster cells. It allows to write few lines of R code for complex
    map algebra. Two environmental applications about frequency analysis of raster
    map of precipitation and creation of a raster map of soil water retention curves
    have been presented.

The ability to plot raster graphics in PDF files can be useful
    when one needs multi-page documents, but the plots contain so many
    individual elements that (the usual) use of vector graphics results in
    inconveniently large file sizes. Internally, the package plots each
    individual page as a PNG, and then combines them in one PDF file.

Generate 'SpatRaster' objects, as defined by the 'terra'
    package, from digital images, using a specified spatial object as a
    geographical reference.