Package: terra Type: Package Title: Spatial Data Analysis Version: 1.5-34 Date: 2022-05-16 Depends: R (>= 3.5.0) Suggests: parallel, tinytest, ncdf4, sf (>= 0.9-8), deldir, XML, igraph LinkingTo: Rcpp Imports: methods, Rcpp SystemRequirements: C++11, GDAL (>= 2.2.3), GEOS (>= 3.4.0), PROJ (>= 4.9.3), sqlite3 Encoding: UTF-8 Maintainer: Robert J. Hijmans Description: Methods for spatial data analysis with raster and vector data. Raster 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, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on to get started. 'terra' is very similar to the 'raster' package; but 'terra' can do more, is easier to use, and it is 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")), person("Michael D.", "Sumner", role = "ctb")) NeedsCompilation: yes Packaged: 2022-06-09 09:17:02 UTC; hornik Author: Robert J. Hijmans [cre, aut] (), Roger Bivand [ctb] (), Karl Forner [ctb], Jeroen Ooms [ctb] (), Edzer Pebesma [ctb] (), Michael D. Sumner [ctb] Repository: CRAN Date/Publication: 2022-06-09 10:52:21 UTC Built: R 4.2.3; x86_64-pc-linux-gnu; 2024-11-28 07:40:01 UTC; unix