Package: terra
Type: Package
Title: Spatial Data Analysis
Version: 1.7-3
Date: 2023-01-23
Depends: R (>= 3.5.0)
Suggests: parallel, tinytest, ncdf4, sf (>= 0.9-8), deldir, XML,
        leaflet
LinkingTo: Rcpp
Imports: methods, Rcpp
SystemRequirements: C++11, GDAL (>= 2.2.3), GEOS (>= 3.4.0), PROJ (>=
        4.9.3), sqlite3
Encoding: UTF-8
Language: en-US
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>
Description: Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include standard operations such as intersect and buffer. Raster methods include global, local, zonal, and focal computations. 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 a replacement for the 'raster' package ('terra' can do more, and it is faster and easier to use).
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("Edzer", "Pebesma", role = "ctb", comment = c(ORCID = "0000-0001-8049-7069")),
    person("Michael D.", "Sumner", role = "ctb"))
NeedsCompilation: yes
Packaged: 2023-01-24 02:34:48 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>),
  Edzer Pebesma [ctb] (<https://orcid.org/0000-0001-8049-7069>),
  Michael D. Sumner [ctb]
Repository: CRAN
Date/Publication: 2023-01-24 13:40:02 UTC
