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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.9-11 |
rolling linux/jammy R-4.5 | terra_1.9-11.tar.gz |
4.7 MiB |
1.9-11 |
rolling linux/noble R-4.5 | terra_1.9-11.tar.gz |
4.7 MiB |
1.9-11 |
rolling source/ R- | terra_1.9-11.tar.gz |
1.0 MiB |
1.9-11 |
latest linux/jammy R-4.5 | terra_1.9-11.tar.gz |
4.7 MiB |
1.9-11 |
latest linux/noble R-4.5 | terra_1.9-11.tar.gz |
4.7 MiB |
1.9-11 |
latest source/ R- | terra_1.9-11.tar.gz |
1.0 MiB |
1.9-11 |
2026-04-26 source/ R- | terra_1.9-11.tar.gz |
1.0 MiB |
1.9-11 |
2026-04-23 source/ R- | terra_1.9-11.tar.gz |
1.0 MiB |
1.9-11 |
2026-04-09 windows/windows R-4.5 | terra_1.9-11.zip |
44.2 MiB |
1.8-42 |
2025-04-20 source/ R- | terra_1.8-42.tar.gz |
1007.8 KiB |