stars: Spatiotemporal Arrays, Raster and Vector Data Cubes (original) (raw)

Reading, manipulating, writing and plotting spatiotemporal arrays (raster and vector data cubes) in 'R', using 'GDAL' bindings provided by 'sf', and 'NetCDF' bindings by 'ncmeta' and 'RNetCDF'.

Version: 0.6-7
Depends: R (≥ 3.3.0), abind, sf (≥ 1.0-19)
Imports: methods, parallel, classInt (≥ 0.4-1), rlang, units
Suggests: Cairo, OpenStreetMap, PCICt, RNetCDF (≥ 1.8-2), clue, covr, cubble (≥ 0.3.0), cubelyr, digest, dplyr (≥ 0.7-0), exactextractr, FNN, future.apply, ggforce, ggplot2, ggthemes, gstat, httr, jsonlite, knitr, lwgeom, maps, mapdata, ncdfgeom, ncmeta (≥ 0.0.3), pbapply, plm, randomForest, raster, rmarkdown, sp, spacetime, spatstat (≥ 2.0-1), spatstat.geom, starsdata, terra (≥ 1.4-22), testthat, tibble, tidyr, tsibble, viridis, xts, zoo
Published: 2024-11-07
DOI: 10.32614/CRAN.package.stars
Author: Edzer Pebesma ORCID iD [aut, cre], Michael Sumner ORCID iD [ctb], Etienne Racine [ctb], Adriano Fantini [ctb], David Blodgett [ctb], Krzysztof Dyba ORCID iD [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma at uni-muenster.de>
BugReports: https://github.com/r-spatial/stars/issues/
License: Apache License version 1.1 | Apache License version 2.0 [expanded from: Apache License]
URL: https://r-spatial.github.io/stars/,https://github.com/r-spatial/stars/
NeedsCompilation: no
Additional_repositories: https://cran.uni-muenster.de/pebesma/
Citation: stars citation info
Materials: NEWS
In views: Spatial, SpatioTemporal
CRAN checks: stars results

Documentation:

Downloads:

Reverse dependencies:

Reverse depends: alcyon, habCluster, starsExtra, transfR
Reverse imports: amadeus, automap, basemaps, bayesEO, csquares, cubeview, ediblecity, fgdr, gbm.auto, ggOceanMaps, gstat, hypsoLoop, itsdm, jpgrid, lidR, mapsapi, medfateland, meteoland, mkde, motif, movegroup, ncdfgeom, oceanexplorer, pacu, pargasite, prevR, qlcVisualize, rdwplus, Rsagacmd, rsat, SDLfilter, SimSurvey, starsTileServer, stxplore, tmap, tmaptools, weatherOz
Reverse suggests: bcmaps, belg, CAST, chooseGCM, CopernicusMarine, cubble, dynamicSDM, gdalcubes, gdalUtilities, ggfields, ggspatial, landscapemetrics, leafem, lidaRtRee, link2GI, mapview, mlr3spatial, nngeo, openeo, paar, palr, qgisprocess, rdwd, rgee, rgrass, rgugik, rlandfire, rstac, sf, sftime, sits, slendr, supercells, ursa, windfarmGA
Reverse enhances: inlabru, sabre

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