rasterly: Easily and Rapidly Generate Raster Image Data with Support for 'Plotly.js'

It aims to easily and rapidly generate raster data in R, even for very large datasets, with an aesthetics-based mapping syntax that should be familiar to users of the 'ggplot2' package. While 'rasterly' does not attempt to reproduce the full functionality of the 'Datashader' graphics pipeline system for Python, the 'rasterly' API has several core elements in common with that software package.

Version: 0.2.0
Depends: R (≥ 3.4.0), methods, Rcpp
Imports: data.table, rlang, plotly, ggplot2, magrittr, grid, stats
LinkingTo: Rcpp
Suggests: covr, testthat, knitr, rmarkdown, lubridate
Published: 2020-06-08
Author: Zehao Xu [aut, cre], Ryan Patrick Kyle ORCID iD [ctb], Plotly Technologies [cph]
Maintainer: Zehao Xu <z267xu at uwaterloo.ca>
BugReports: https://github.com/plotly/rasterly/issues
License: MIT + file LICENSE
NeedsCompilation: yes
CRAN checks: rasterly results

Documentation:

Reference manual: rasterly.pdf
Vignettes: Introduction to rasterly

Downloads:

Package source: rasterly_0.2.0.tar.gz
Windows binaries: r-devel: rasterly_0.2.0.zip, r-devel-UCRT: rasterly_0.2.0.zip, r-release: rasterly_0.2.0.zip, r-oldrel: rasterly_0.2.0.zip
macOS binaries: r-release (arm64): rasterly_0.2.0.tgz, r-release (x86_64): rasterly_0.2.0.tgz, r-oldrel: rasterly_0.2.0.tgz
Old sources: rasterly archive

Linking:

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