# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "terra" in publications use:' type: software title: 'terra: Spatial Data Analysis' version: 1.7-81 doi: 10.32614/CRAN.package.terra identifiers: - type: url value: https://rspatial.github.io/terra/ abstract: 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 to get started. 'terra' replaces the 'raster' package ('terra' can do more, and it is faster and easier to use). authors: - family-names: Hijmans given-names: Robert J. email: r.hijmans@gmail.com orcid: https://orcid.org/0000-0001-5872-2872 repository: https://rspatial.r-universe.dev repository-code: https://github.com/rspatial/terra/issues/ commit: e62c73372b008d0ef58957319a1a5a7286d7e338 url: https://rspatial.org/ date-released: '2024-07-17' contact: - family-names: Hijmans given-names: Robert J. email: r.hijmans@gmail.com orcid: https://orcid.org/0000-0001-5872-2872