terra
Spatial Data Analysis
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.
- Version1.8-86
- R version3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Languageen-US
- Last release11/28/2025
Documentation
Team
Robert J. Hijmans
MaintainerShow author detailsAndrew Brown
Michael D. Sumner
Krzysztof Dyba
Roger Bivand
Show author detailsRolesContributorBarry Rowlingson
Edzer Pebesma
Michael Chirico
Emanuele Cordano
Márcia Barbosa
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