stars: Scalable, Spatiotemporal Tidy Arrays for R

Support for Scalable, Spatiotemporal Tidy Arrays in R, using GDAL bindings.

Version: 0.1-1
Depends: R (≥ 3.3.0), abind, sf (≥ 0.6-3)
Imports: methods, Rcpp, rlang, units, classInt (≥ 0.2-2)
Suggests: lwgeom, covr, ggplot2, ggthemes, gstat, dplyr (≥ 0.7-0), knitr, maps, plm, rmarkdown, sp, zoo, xts, spacetime, raster, testthat, viridis
Published: 2018-07-25
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
CRAN checks: stars results

Downloads:

Reference manual: stars.pdf
Vignettes: Spatiotemporal tidy arrays for R; first steps
Stars: data model
Spatiotemporal tidy arrays for R; first steps
Package source: stars_0.1-1.tar.gz
Windows binaries: r-devel: stars_0.1-1.zip, r-release: stars_0.1-1.zip, r-oldrel: stars_0.1-1.zip
OS X binaries: r-release: stars_0.1-1.tgz, r-oldrel: stars_0.1-1.tgz

Reverse dependencies:

Reverse imports: mapview

Linking:

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