An implementation of the WOFOST ("World Food Studies") crop growth model. WOFOST is a dynamic simulation model that uses daily weather data, and crop, soil and management parameters to simulate crop growth and development. See De Wit et al. (2019) <doi:10.1016/j.agsy.2018.06.018> for a recent review of the history and use of the model.

Reproducibility is essential to the progress of research, 
  yet achieving it remains elusive even in computational fields. 
  Continuous Integration (CI) platforms offer a powerful way to launch automated workflows 
  to check and document code, but often require considerable time, effort, 
  and technical expertise to setup. We therefore developed the rworkflows suite 
  to make robust CI workflows easy and freely accessible to all R package developers. 
  rworkflows consists of 1) a CRAN/Bioconductor-compatible R package template, 
  2) an R package to quickly implement a standardised workflow, and 
  3) a centrally maintained GitHub Action.

Enables mapping of country level and gridded user datasets.

High resolution vector country boundaries derived from
        Natural Earth data, can be plotted in rworldmap.

Search by keywords in R packages, task views, CRAN, the web and display the results in the console or in txt, html or pdf files. Download the package documentation (html index, README, NEWS, pdf manual, vignettes, source code, binaries) with a single instruction. Visualize the package dependencies and CRAN checks. Compare the package versions, unload and install the packages and their dependencies in a safe order. Explore CRAN archives. Use the above functions for task view maintenance. Access web search engines from the console thanks to 80+ bookmarks. All functions accept standard and non-standard evaluation.

It contains Chinese character frequency data based on 
    news data from 2017 to 2019. Source of these news include Sina, China daily and Tencent.

Allows remote access to satellite image time 
    series provided by the web time series service (WTSS) available 
    at servers such as <https://brazildatacube.dpi.inpe.br/wtss/>. 
    The functions include listing the data sets available in WTSS servers, 
    describing the contents of a data set, and retrieving a time series 
    based on spatial location and temporal filters.