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: 0.3-0
Depends: R (≥ 3.3.0), abind, sf (≥ 0.7-2)
Imports: methods, parallel, classInt (≥ 0.2-2), rlang, units
Suggests: PCICt, RNetCDF (≥ 1.8-2), covr, dplyr (≥ 0.7-0), ggforce, ggplot2, ggthemes, gstat, httr, jsonlite, knitr, lwgeom, maps, ncmeta (≥ 0.0.3), pbapply, plm, raster, rmarkdown, sp, spacetime, testthat, viridis, zoo, xts, starsdata
Published: 2019-02-24
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_0.3-0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: stars_0.3-0.tgz, r-oldrel: stars_0.3-0.tgz
Old sources: stars archive

Reverse dependencies:

Reverse suggests: ecmwfr, ggspatial, gstat, mapview, sf
Reverse enhances: landscapemetrics


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