Spatial Data Analysis R package terra version 1.9-34 CRAN Task View: Spatial (https://CRAN.R-project.org/view=Spatial) CRAN Task View: SpatioTemporal (https://CRAN.R-project.org/view=SpatioTemporal) Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. 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/> to get started. Software Depends: R (>= 3.5.0), methods Imports: Rcpp (>= 1.0-10) LinkingTo: Rcpp Suggests: parallel, tinytest, ncdf4, sf (>= 0.9-8), igraph, deldir, XML, leaflet (>= 2.2.1), htmlwidgets, future, future.apply Robert J. Hijmans <r.hijmans@gmail.com> Comprehensive R Archive Network (CRAN) Robert J. Hijmans [cre, aut] (ORCID: <https://orcid.org/0000-0001-5872-2872>), Andrew Brown [aut] (ORCID: <https://orcid.org/0000-0002-4565-533X>), Márcia Barbosa [aut] (ORCID: <https://orcid.org/0000-0001-8972-7713>), Krzysztof Dyba [ctb] (ORCID: <https://orcid.org/0000-0002-8614-3816>), Roger Bivand [ctb] (ORCID: <https://orcid.org/0000-0003-2392-6140>), Michael Chirico [ctb] (ORCID: <https://orcid.org/0000-0003-0787-087X>), Emanuele Cordano [ctb] (ORCID: <https://orcid.org/0000-0002-3508-5898>), Edzer Pebesma [ctb] (ORCID: <https://orcid.org/0000-0001-8049-7069>), Barry Rowlingson [ctb] (ORCID: <https://orcid.org/0000-0002-8586-6625>), Michael D. Sumner [ctb] (ORCID: <https://orcid.org/0000-0002-2471-7511>) GPL (>= 3) 2026-06-19 application/tgz https://CRAN.R-project.org/package=terra doi:10.32614/CRAN.package.terra en-US