Package: terra
Type: Package
Title: Spatial Data Analysis
Version: 0.8-6
Date: 2020-07-28
Depends: R (>= 3.5.0)
Suggests: parallel, tinytest
LinkingTo: Rcpp
Imports: methods, Rcpp, raster (>= 3.3-7)
SystemRequirements: C++11, GDAL (>= 3.0.4), GEOS (>= 3.8.0), PROJ (>=
        6.3.1)
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>
Description: 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. 
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 = c(ORCID = "0000-0003-2392-6140")),
	person("Karl", "Forner", role = "ctb"),
	person("Jeroen", "Ooms", role = "ctb", comment = c(ORCID = "0000-0002-4035-0289")),
    person("Edzer", "Pebesma", role = "ctb", comment = c(ORCID = "0000-0001-8049-7069")))
NeedsCompilation: yes
Packaged: 2020-07-28 16:33:46 UTC; rhijm
Author: Robert 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>)
Repository: CRAN
Date/Publication: 2020-08-01 00:30:02 UTC
Built: R 4.0.2; x86_64-w64-mingw32; 2020-08-02 02:09:40 UTC; windows
Archs: i386, x64
