terra: Spatial Data Analysis
Methods for spatial data analysis with raster and vector data. Raster methods allow for low-level data manipulation as well as high-level global, local, zonal, and focal computation. 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/terra/> to get started. 'terra' is very similar to the 'raster' package; but 'terra' can do more, is easier to use, and it is faster.
| Version: |
1.6-7 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
methods, Rcpp |
| LinkingTo: |
Rcpp |
| Suggests: |
parallel, tinytest, ncdf4, sf (≥ 0.9-8), deldir, XML, leaflet |
| Published: |
2022-08-07 |
| Author: |
Robert J. Hijmans 
[cre, aut],
Roger Bivand
[ctb],
Karl Forner [ctb],
Jeroen Ooms [ctb],
Edzer Pebesma
[ctb],
Michael D. Sumner [ctb] |
| Maintainer: |
Robert J. Hijmans <r.hijmans at gmail.com> |
| BugReports: |
https://github.com/rspatial/terra/issues/ |
| License: |
GPL (≥ 3) |
| URL: |
https://rspatial.org/terra/ |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C++11, GDAL (>= 2.2.3), GEOS (>= 3.4.0), PROJ (>=
4.9.3), sqlite3 |
| Materials: |
NEWS |
| In views: |
Spatial, SpatioTemporal |
| CRAN checks: |
terra results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: |
geodata, restoptr, rts |
| Reverse imports: |
ag5Tools, ascotraceR, binaryTimeSeries, bioclim, CatastRo, CCAMLRGIS, chirps, climetrics, deforestable, dismo, dots, epm, fgdr, fitbitViz, gtfs2gps, gwavr, hypsoLoop, ICvectorfields, lidaRtRee, lidR, mapme.biodiversity, maptiles, mlr3spatial, modEvA, ows4R, PlanetNICFI, rassta, raster, rasterbc, rasterdiv, rasterpic, rasterVis, Recocrop, regional, Rsagacmd, RStoolbox, rtrend, satellite, scapesClassification, secr, sgsR, sits, stppSim, supercells, tanaka, terrainr, tidyterra, voluModel |
| Reverse suggests: |
AMAPVox, belg, BiodiversityR, CAST, dartR, datazoom.amazonia, disdat, exactextractr, fuzzySim, ggspatial, IceSat2R, landscapemetrics, mapiso, mapsf, mapSpain, mlr3spatiotempcv, motif, rdwd, reproducible, rgrass, rgrass7, rgugik, Rquefts, Rwofost, sf, smoothr, soilDB, spatialEco, stars, tidycensus, unifir, whitebox |
| Reverse enhances: |
sabre |
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=terra
to link to this page.