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).
- Version1.8-21
- R versionR (≥ 3.5.0)
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Languageen-US
- Last release02/10/2025
Documentation
Team
Robert J. Hijmans
MaintainerShow author detailsAndrew Brown
Show author detailsRolesContributorMichael D. Sumner
Show author detailsRolesContributorKrzysztof Dyba
Roger Bivand
Show author detailsRolesContributorBarry Rowlingson
Show author detailsRolesContributorEdzer Pebesma
Michael Chirico
Show author detailsRolesContributorEmanuele Cordano
Márcia Barbosa
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 195,312 times in the last 30 days. Practically an academic rockstar! That's enough downloads to cause murmurs at international conferences. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3,435 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,970,725 times in the last 365 days. Perhaps it's time to consider hiring a personal assistant to manage the newfound fame. That's an absurd number of downloads. The day with the most downloads was Feb 10, 2025 with 10,639 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports1 package
- Suggests7 packages
- Linking To1 package
- Reverse Depends29 packages
- Reverse Imports249 packages
- Reverse Suggests99 packages
- Reverse Enhances1 package