stars: Scalable, Spatiotemporal Tidy Arrays

Reading, manipulating, writing and plotting spatiotemporal Arrays (including raster data) in R, using GDAL bindings provided by package sf.

Version: 0.2-0
Depends: abind, R (≥ 3.3.0), sf (≥ 0.7-0)
Imports: methods, parallel, classInt (≥ 0.2-2), ncdf4, ncmeta, rlang, units
Suggests: covr, dplyr (≥ 0.7-0), ggplot2, ggthemes, gstat, knitr, lwgeom, maps, pbapply, plm, raster, rmarkdown, sp, spacetime, testthat, viridis, zoo, xts, starsdata
Published: 2018-10-25
Author: Edzer Pebesma ORCID iD [aut, cre], Michael Sumner [ctb], Etienne Racine [ctb], Adriano Fantini [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://github.com/r-spatial/stars/
NeedsCompilation: no
Materials: NEWS
In views: Spatial
CRAN checks: stars results

Downloads:

Reference manual: stars.pdf
Vignettes: Spatiotemporal arrays for R; stars blog one
Stars: data model
Spatiotemporal tidy arrays for R; first steps
Stars proxy objects
Package source: stars_0.2-0.tar.gz
Windows binaries: r-devel: stars_0.2-0.zip, r-release: stars_0.2-0.zip, r-oldrel: stars_0.2-0.zip
OS X binaries: r-release: stars_0.2-0.tgz, r-oldrel: stars_0.2-0.tgz
Old sources: stars archive

Reverse dependencies:

Reverse imports: mapview
Reverse suggests: ggspatial, sf
Reverse enhances: landscapemetrics

Linking:

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