r-cran-terra - 1.7-78-1+b1 main

Methods for spatial data analysis with raster and vector data. Raster
methods allow for low-level data manipulation as well as high-level
global, local, zonal, and focal computation. The predict and interpolate
methods facilitate the use of regression type (interpolation, machine
learning) models for spatial prediction, including with satellite remote
sensing data. Processing of very large files is supported. See the
manual and tutorials on to get started.
'terra' is very similar to the 'raster' package; but 'terra' can do
more, is easier to use, and it is faster.