Package: terra
Type: Package
Title: Classes and Methods for Spatial Data
Version: 0.5-8
Date: 2020-04-09
Depends: R (>= 3.3.0)
Suggests: testthat
LinkingTo: Rcpp
Imports: methods, Rcpp, raster (>= 3.0-12)
SystemRequirements: C++11, GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>=
        4.8.0)
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>
Description: 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. 
License: GPL (>= 3)
URL: https://rspatial.org/terra
BugReports: https://github.com/rspatial/terra/issues/
LazyLoad: yes
Authors@R: c(
	person("Robert J.", "Hijmans", role = c("cre", "aut"),  
			email = "r.hijmans@gmail.com", 
			comment = c(ORCID = "0000-0001-5872-2872")),
	person("Roger", "Bivand", role = "ctb", comment="install script, GDAL/GEOS code"),
	person("Karl", "Forner", role = "ctb", comment="progress bar"),
	person("Charles", "Karney", role = "ctb", comment="GeographicLib"),
	person("Edzer", "Pebesma", role = "ctb", comment="GDAL/GEOS code from sf"),
	person("Darel", "Finley", role = "ctb", comment="polygon fill approach")
	)
NeedsCompilation: yes
Packaged: 2020-04-09 22:46:36 UTC; rhijm
Author: Robert J. Hijmans [cre, aut] (<https://orcid.org/0000-0001-5872-2872>),
  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)
Repository: CRAN
Date/Publication: 2020-04-14 08:50:02 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 03:58:48 UTC; windows
Archs: i386, x64
