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 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 ORCID iD [cre, aut], Roger Bivand ORCID iD [ctb], Karl Forner [ctb], Jeroen Ooms ORCID iD [ctb], Edzer Pebesma ORCID iD [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


Reference manual: terra.pdf


Package source: terra_1.6-17.tar.gz
Windows binaries: r-devel: terra_1.6-17.zip, r-release: terra_1.6-17.zip, r-oldrel: terra_1.6-17.zip
macOS binaries: r-release (arm64): terra_1.6-17.tgz, r-oldrel (arm64): terra_1.6-17.tgz, r-release (x86_64): terra_1.6-17.tgz, r-oldrel (x86_64): terra_1.6-17.tgz
Old sources: terra archive

Reverse dependencies:

Reverse depends: geodata, rcaiman, restoptr, rts
Reverse imports: adw, ag5Tools, ascotraceR, atpolR, basemaps, binaryTimeSeries, bioclim, CatastRo, CCAMLRGIS, chirps, climetrics, deforestable, dismo, dots, epm, fgdr, fitbitViz, gtfs2gps, gwavr, happign, 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, shar, 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


Please use the canonical form https://CRAN.R-project.org/package=terra to link to this page.