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
- Version1.7-83
- R version≥ 3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Languageen-US
- Last release10/14/2024
Documentation
Team
Robert J. Hijmans
Roger Bivand
Emanuele Cordano
Krzysztof Dyba
Edzer Pebesma
Michael D. Sumner
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- Depends1 package
- Imports2 packages
- Suggests8 packages
- Linking To1 package
- Reverse Depends29 packages
- Reverse Imports250 packages
- Reverse Suggests101 packages
- Reverse Enhances1 package