Package: rasterly
Title: Easily and Rapidly Generate Raster Image Data with Support for
        'Plotly.js'
Version: 0.1.0
Authors@R: c(person("Zehao", "Xu", role = c("aut", "cre"), email = "z267xu@uwaterloo.ca"), person("Ryan Patrick", "Kyle", role = c("ctb"), comment = c(ORCID = "0000-0001-5829-9867"), email = "ryan@plot.ly"), person(family = "Plotly Technologies", role = "cph"))
Description: 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.
LinkingTo: Rcpp
License: MIT + file LICENSE
Encoding: UTF-8
ByteCompile: true
KeepSource: true
BugReports: https://github.com/plotly/rasterly/issues
Depends: R (>= 3.4.0), methods, Rcpp
Imports: data.table, rlang, plotly, ggplot2, magrittr
Suggests: grid, stats, compiler, loon, purrr, covr, testthat, knitr,
        rmarkdown, lubridate
LazyData: true
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-10-23 14:39:54 UTC; rpkyle
Author: Zehao Xu [aut, cre],
  Ryan Patrick Kyle [ctb] (<https://orcid.org/0000-0001-5829-9867>),
  Plotly Technologies [cph]
Maintainer: Zehao Xu <z267xu@uwaterloo.ca>
Repository: CRAN
Date/Publication: 2019-10-28 15:50:02 UTC
Built: R 4.0.0; x86_64-w64-mingw32; 2020-04-10 11:44:52 UTC; windows
Archs: i386, x64
