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 a replacement for the 'raster' package ('terra' can do more, and it is faster and easier to use).
| Version: |
1.6-17 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
methods, Rcpp |
| LinkingTo: |
Rcpp |
| Suggests: |
parallel, tinytest, ncdf4, sf (≥ 0.9-8), deldir, XML, leaflet |
| Published: |
2022-09-10 |
| 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 |
| Reverse depends: |
geodata, restoptr, rts |
| Reverse imports: |
ag5Tools, ascotraceR, atpolR, binaryTimeSeries, bioclim, CatastRo, CCAMLRGIS, chirps, climetrics, deforestable, dismo, dots, epm, fgdr, fitbitViz, gtfs2gps, gwavr, hypsoLoop, ICvectorfields, lidaRtRee, lidR, mapme.biodiversity, maptiles, mlr3spatial, modEvA, movecost, 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, ecmwfr, exactextractr, fuzzySim, ggspatial, IceSat2R, landscapemetrics, mapiso, mapsf, mapSpain, mlr3spatiotempcv, motif, rdwd, reproducible, rgrass, rgrass7, rgugik, Rquefts, Rwofost, sf, smoothr, soilDB, SpaDES.core, spatialEco, stars, tidycensus, unifir, whitebox |
| Reverse enhances: |
sabre |