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. 'terra' replaces the 'raster' package ('terra' can do more, and it is faster and easier to use).
- Version1.7-83
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Languageen-US
- Last release10/14/2024
Documentation
Team
Robert J. Hijmans
MaintainerShow author detailsMichael D. Sumner
Emanuele Cordano
Show author detailsRolesContributorRoger Bivand
Edzer Pebesma
Show author detailsRolesContributorKrzysztof Dyba
Show author detailsRolesContributor
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- Imports1 package
- Suggests7 packages
- Linking To1 package
- Reverse Depends29 packages
- Reverse Imports245 packages
- Reverse Suggests98 packages
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