terra: Spatial Data Analysis

Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include standard operations such as intersect and buffer. Raster methods include global, local, zonal, and focal computations. 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:	1.7-18
Depends:	R (≥ 3.5.0)
Imports:	methods, Rcpp (≥ 1.0-10)
LinkingTo:	Rcpp
Suggests:	parallel, tinytest, ncdf4, sf (≥ 0.9-8), deldir, XML, leaflet
Published:	2023-03-06
Author:	Robert J. Hijmans [cre, aut], Roger Bivand [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:	GDAL (>= 2.2.3), GEOS (>= 3.4.0), PROJ (>= 4.9.3), sqlite3
Language:	en-US
Materials:	NEWS
In views:	Spatial, SpatioTemporal
CRAN checks:	terra results

Documentation:

Reference manual:

terra.pdf

Downloads:

Package source:	terra_1.7-18.tar.gz
Windows binaries:	r-devel: terra_1.7-18.zip, r-release: terra_1.7-18.zip, r-oldrel: terra_1.7-18.zip
macOS binaries:	r-release (arm64): terra_1.7-18.tgz, r-oldrel (arm64): terra_1.7-18.tgz, r-release (x86_64): terra_1.7-18.tgz, r-oldrel (x86_64): terra_1.7-18.tgz
Old sources:	terra archive

Reverse dependencies:

Reverse depends:	diffeR, geodata, GLCMTextures, hydflood, MultiscaleDTM, pastclim, predicts, raptr, rcaiman, restoptr, rflsgen, rts, TOC
Reverse imports:	adw, ag5Tools, amt, ascotraceR, atpolR, basemaps, BIEN, binaryTimeSeries, bioclim, biomod2, CatastRo, CCAMLRGIS, chirps, cholera, climateStability, climetrics, daymetr, deforestable, DEPONS2R, dismo, dots, dynatopGIS, ebirdst, ebvcube, enerscape, enmSdmX, ENMTools, envi, epm, FedData, fgdr, fitbitViz, gateR, geocmeans, gtfs2emis, gtfs2gps, gwavr, happign, hypsoLoop, ICvectorfields, intSDM, lidaRtRee, lidR, link2GI, mapme.biodiversity, maptiles, MetaLandSim, mlr3spatial, modEvA, MODISTools, movecost, nichevol, Orcs, ows4R, PlanetNICFI, prioritizr, rangeBuilder, rassta, raster, rasterbc, rasterdiv, rasterpic, rasterVis, rcontroll, Recocrop, regional, rivnet, roads, Rsagacmd, rtrend, samc, satellite, scapesClassification, SDMtune, secr, sgsR, shar, shoredate, simpleSeg, sits, smoothr, sparrpowR, spatialEco, stppSim, SUNGEO, supercells, tanaka, terrainr, tidyterra, voluModel, wflo
Reverse suggests:	AMAPVox, annotator, belg, BiodiversityR, blockCV, CAST, dartR, datazoom.amazonia, disdat, dynamAedes, ecmwfr, ecospat, exactextractr, fuzzySim, ggspatial, IceSat2R, icosa, inlabru, lacunaritycovariance, landscapemetrics, lpjmlkit, mapiso, mapsf, mapSpain, mlr3spatiotempcv, motif, openeo, opentripplanner, RCzechia, rdwd, reproducible, rgeedim, rgrass, rgrass7, rgugik, rnaturalearth, Rquefts, rTLsDeep, Rwofost, sf, sharpshootR, skylight, snapKrig, soilDB, stars, tidycensus, trackdf, traudem, unifir, ursa, via, wallace, waywiser, whitebox
Reverse enhances:	sabre

Linking:

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