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World Map Data from Natural Earth
Facilitates mapping by making natural earth map data from < https://www.naturalearthdata.com/> more easily available to R users.
A Smaller 'codemetar' Package
The 'Codemeta' Project defines a 'JSON-LD' format for describing software metadata, as detailed at < https://codemeta.github.io>. This package provides core utilities to generate this metadata with a minimum of dependencies.
Generate 'CodeMeta' Metadata for R Packages
The 'Codemeta' Project defines a 'JSON-LD' format for describing software metadata, as detailed at < https://codemeta.github.io>. This package provides utilities to generate, parse, and modify 'codemeta.json' files automatically for R packages, as well as tools and examples for working with 'codemeta.json' 'JSON-LD' more generally.
Render SVG Images into PDF, PNG, (Encapsulated) PostScript, or Bitmap Arrays
Renders vector-based svg images into high-quality custom-size bitmap arrays using 'librsvg2'. The resulting bitmap can be written to e.g. png, jpeg or webp format. In addition, the package can convert images directly to various formats such as pdf or postscript.
Advanced Graphics and Image-Processing in R
Bindings to 'ImageMagick': the most comprehensive open-source image processing library available. Supports many common formats (png, jpeg, tiff, pdf, etc) and manipulations (rotate, scale, crop, trim, flip, blur, etc). All operations are vectorized via the Magick++ STL meaning they operate either on a single frame or a series of frames for working with layers, collages, or animation. In RStudio images are automatically previewed when printed to the console, resulting in an interactive editing environment. The latest version of the package includes a native graphics device for creating in-memory graphics or drawing onto images using pixel coordinates.
HTTP Client
A simple HTTP client, with tools for making HTTP requests, and mocking HTTP requests. The package is built on R6, and takes inspiration from Ruby's 'faraday' gem (< https://rubygems.org/gems/faraday>). The package name is a play on curl, the widely used command line tool for HTTP, and this package is built on top of the R package 'curl', an interface to 'libcurl' (< https://curl.se/libcurl/>).
Provides Access to Git Repositories
Interface to the 'libgit2' library, which is a pure C implementation of the 'Git' core methods. Provides access to 'Git' repositories to extract data and running some basic 'Git' commands.
Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools
Using tidy data principles can make many text mining tasks easier, more effective, and consistent with tools already in wide use. Much of the infrastructure needed for text mining with tidy data frames already exists in packages like 'dplyr', 'broom', 'tidyr', and 'ggplot2'. In this package, we provide functions and supporting data sets to allow conversion of text to and from tidy formats, and to switch seamlessly between tidy tools and existing text mining packages.
An API Client for Australian Weather and Climate Data Resources
Provides automated downloading, parsing and formatting of
weather data for Australia through API endpoints provided by the
Department of Primary Industries and Regional Development ('DPIRD') of
Western Australia and by the Science and Technology Division of the
Queensland Government's Department of Environment and Science ('DES').
As well as the Bureau of Meteorology ('BOM') of the Australian
government precis and coastal forecasts,
and downloading and importing radar and satellite imagery files.
'DPIRD' weather data are accessed through public 'APIs' provided by
'DPIRD', < https://www.agric.wa.gov.au/weather-api-20>, providing
access to weather station data from the 'DPIRD' weather station
network. Australia-wide weather data are based on data from the
Australian Bureau of Meteorology ('BOM') data and accessed through
'SILO' (Scientific Information for Land Owners) Jeffrey et al. (2001)
Compact and Flexible Summaries of Data
A simple to use summary function that can be used with pipes and displays nicely in the console. The default summary statistics may be modified by the user as can the default formatting. Support for data frames and vectors is included, and users can implement their own skim methods for specific object types as described in a vignette. Default summaries include support for inline spark graphs. Instructions for managing these on specific operating systems are given in the "Using skimr" vignette and the README.