terra: Classes and Methods for Spatial Data

Classes and methods for spatial data, 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. The user-interface is very similar to that of the 'raster' package; but it is simpler and faster. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/terra/> to get started.

Version: 0.5-2
Depends: R (≥ 3.3.0)
Imports: methods, Rcpp, raster (≥ 3.0-12)
LinkingTo: Rcpp
Suggests: testthat, rgdal
Published: 2020-03-20
Author: Robert J. Hijmans ORCID iD [cre, aut], Roger Bivand [ctb] (install script, GDAL/GEOS code), Karl Forner [ctb] (progress bar), Charles Karney [ctb] (GeographicLib), Edzer Pebesma [ctb] (GDAL/GEOS code from sf), Darel Finley [ctb] (polygon fill approach)
Maintainer: Robert J. Hijmans <r.hijmans at gmail.com>
BugReports: https://github.com/rspatial/terra/issues/
License: GPL (≥ 3)
URL: https://github.com/rspatial/terra
NeedsCompilation: yes
SystemRequirements: C++11, GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0)
Materials: ChangeLog
CRAN checks: terra results

Downloads:

Reference manual: terra.pdf
Package source: terra_0.5-2.tar.gz
Windows binaries: r-devel: not available, r-devel-gcc8: terra_0.5-2.zip, r-release: terra_0.5-2.zip, r-oldrel: terra_0.5-2.zip
OS X binaries: r-release: terra_0.5-2.tgz, r-oldrel: terra_0.5-2.tgz

Linking:

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