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

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.


Reference manual

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0.1.0 by Zehao Xu, 20 days ago

Report a bug at https://github.com/plotly/rasterly/issues

Browse source code at https://github.com/cran/rasterly

Authors: Zehao Xu [aut, cre] , Ryan Patrick Kyle [ctb] , Plotly Technologies [cph]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports data.table, rlang, plotly, ggplot2, magrittr

Depends on methods, Rcpp

Suggests grid, stats, compiler, loon, purrr, covr, testthat, knitr, rmarkdown, lubridate

Linking to Rcpp

See at CRAN