terra: Spatial Data Analysis

Methods for spatial data analysis, especially raster data. 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. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/terra/> to get started. The package is similar to the 'raster' package; but 'terra' is simpler and faster.

Version:	0.8-6
Depends:	R (≥ 3.5.0)
Imports:	methods, Rcpp, raster (≥ 3.3-7)
LinkingTo:	Rcpp
Suggests:	parallel, tinytest
Published:	2020-08-01
Author:	Robert J. Hijmans [cre, aut], Roger Bivand [ctb], Karl Forner [ctb], Jeroen Ooms [ctb], Edzer Pebesma [ctb]
Maintainer:	Robert J. Hijmans <r.hijmans at gmail.com>
BugReports:	https://github.com/rspatial/terra/issues/
License:	GPL (≥ 3)
URL:	https://rspatial.org/terra
NeedsCompilation:	yes
SystemRequirements:	C++11, GDAL (>= 3.0.4), GEOS (>= 3.8.0), PROJ (>= 6.3.1)
Materials:	NEWS
CRAN checks:	terra results

Downloads:

Linking:

Please use the canonical form https://CRAN.R-project.org/package=terra to link to this page.