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.

Convert digital images to spatially referenced 'SpatRaster'
    objects, as defined by the 'terra' package, using coordinates from
    supported spatial input classes. Supported inputs include numeric
    coordinate vectors and objects from the 'sf', 'terra' and 'stars'
    packages. The main function is an S3 generic, allowing other packages
    to extend support to additional spatial classes.

Methods for enhanced visualization and interaction with raster data. It implements visualization methods for quantitative data and categorical data, both for univariate and multivariate rasters. It also provides methods to display spatiotemporal rasters, and vector fields. See the website for examples.