terra: Spatial Data Analysis

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 <https://rspatial.org/terra/> to get started. 'terra' is very similar to the 'raster' package; but 'terra' can do more, is easier to use, and it is faster.

Package details

AuthorRobert J. Hijmans [cre, aut] (<https://orcid.org/0000-0001-5872-2872>), Roger Bivand [ctb] (<https://orcid.org/0000-0003-2392-6140>), Karl Forner [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Edzer Pebesma [ctb] (<https://orcid.org/0000-0001-8049-7069>)
MaintainerRobert J. Hijmans <r.hijmans@gmail.com>
LicenseGPL (>= 3)
Version1.3-4
URL https://rspatial.org/terra
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("terra")

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terra documentation built on June 21, 2021, 1:07 a.m.