stars: Spatiotemporal Arrays, Raster and Vector Data Cubes

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: 0.4-0
Depends: R (≥ 3.3.0), abind, sf (≥ 0.8-0)
Imports: methods, parallel, classInt (≥ 0.4-1), lwgeom, rlang, units
Suggests: PCICt, RNetCDF (≥ 1.8-2), covr, digest, dplyr (≥ 0.7-0), future.apply, ggforce, ggplot2, ggthemes, gstat, httr, jsonlite, knitr, maps, ncdfgeom, ncmeta (≥ 0.0.3), pbapply, plm, raster, rmarkdown, sp, spacetime, starsdata, testthat, tidync, viridis, xts, zoo
Published: 2019-10-10
Author: Edzer Pebesma ORCID iD [aut, cre], Michael Sumner ORCID iD [ctb], Etienne Racine [ctb], Adriano Fantini [ctb], David Blodgett [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma at>
License: Apache License version 1.1 | Apache License version 2.0 [expanded from: Apache License]
NeedsCompilation: no
Materials: NEWS
In views: Spatial
CRAN checks: stars results


Reference manual: stars.pdf
Vignettes: 1. introduction
2. stars proxy objects
3. stars tidyverse methods
4. stars data model
5. vector-raster and raster-vector conversion
Package source: stars_0.4-0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: stars_0.4-0.tgz, r-oldrel: stars_0.4-0.tgz
Old sources: stars archive

Reverse dependencies:

Reverse imports: cubeview, fgdr, nngeo, sen2r
Reverse suggests: ecmwfr, gdalcubes, ggspatial, gstat, mapview, rgrass7, sf
Reverse enhances: landscapemetrics


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