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geospark: Bring Local Sf to Spark

R binds 'GeoSpark' <http://geospark.datasyslab.org/> extending 'sparklyr' <https://spark.rstudio.com/> R package to make distributed 'geocomputing' easier. Sf is a package that provides [simple features] <https://en.wikipedia.org/wiki/Simple_Features> access for R and which is a leading 'geospatial' data processing tool. 'Geospark' R package bring the same simple features access like sf but running on Spark distributed system.

Version:0.3.1
Depends:R (≥ 3.1.2)
Imports:sparklyr (≥ 1.0.0),dplyr (≥ 0.8.3),dbplyr (≥ 1.3.0)
Suggests:testthat,knitr, utils
Published:2020-03-02
DOI:10.32614/CRAN.package.geospark
Author:Harry Zhu [aut, cre], Javier Luraschi [ctb]
Maintainer:Harry Zhu <7harryprince at gmail.com>
BugReports:https://github.com/harryprince/geospark/issues
License:Apache License (≥ 2.0)
NeedsCompilation:no
Materials:README
CRAN checks:geospark results

Documentation:

Reference manual:geospark.html ,geospark.pdf

Downloads:

Package source: geospark_0.3.1.tar.gz
Windows binaries: r-devel:geospark_0.3.1.zip, r-release:geospark_0.3.1.zip, r-oldrel:geospark_0.3.1.zip
macOS binaries: r-release (arm64):geospark_0.3.1.tgz, r-oldrel (arm64):geospark_0.3.1.tgz, r-release (x86_64):geospark_0.3.1.tgz, r-oldrel (x86_64):geospark_0.3.1.tgz
Old sources: geospark archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=geosparkto link to this page.


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