today I’d like to draw your attention to an upcoming, interesting R package for handling spatial data.
Following the successful release of the
sf package, which simplifies and optimizes many aspects of handling spatial (vector) data in R by implementing simple features as native R data (alongside with many R convenience functions, such as support for pipe-based workflows, dplyr-style verbs and integration with ggplot), the R masterminds for geospatial data analysis around Edzer Pebesma are currently working on a new package related to the management and analysis of spatiotemporal arrays. The package will be called
stars and is specifically targed to facilitate work with spatiotemporal data, coming in the form of dense arrays, with space and time being array dimensions.
The package is not intended to replace the very powerful
raster package, but should be rather seen as a modern, efficient and convenient package featuring tidy, scalable and optimized (due to its implementation in C++) workflows for spatiotemporal arrays, thus also improving some of