Many useful functions and extensions for dealing with meteorological data in the tidy data framework. Extends 'ggplot2' for better plotting of scalar and vector fields and provides commonly used analysis methods in the atmospheric sciences.

Overview

Conceptually it's divided into visualization tools and data tools. The former are geoms, stats and scales that help with plotting using 'ggplot2', such as stat_contour_fill or scale_y_level, while the later are functions for common data processing tools in the atmospheric sciences, such as Derivate or EOF; these are implemented to work in the 'data.table' paradigm, but also work with regular data frames.

To get started, check the vignettes:

Author

Maintainer: Elio Campitelli elio.campitelli@cima.fcen.uba.ar (ORCID)