[ctb],
Plotly Technologies [cph]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
[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 |
| Reference manual: | rasterly.pdf |
| Vignettes: |
Introduction to rasterly |
| Package source: | rasterly_0.2.0.tar.gz |
| Windows binaries: | r-devel: rasterly_0.2.0.zip, r-release: rasterly_0.2.0.zip, r-oldrel: rasterly_0.2.0.zip |
| macOS binaries: | r-release: rasterly_0.2.0.tgz, r-oldrel: rasterly_0.2.0.tgz |
| Old sources: | rasterly archive |
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