c(person("Jan", "Wijffels", role = c("aut", "cre", "cph"), email =
"jwijffels@bnosac.be"), person("BNOSAC", role = "cph"), person("Kevin", "Ushey",
role = c("cph"), email = "kevinushey@gmail.com"))
Jan Wijffels [aut, cre, cph],
BNOSAC [cph],
Kevin Ushey [cph]

knitr, rmarkdown, miniUI, shiny (>= 0.11), shinyFiles (>=
0.6.0), testthat

c(
person("Jan", "Wijffels", role = c("aut", "cre", "cph"), email = "jwijffels@bnosac.be"),
person("BNOSAC", role = "cph"),
person("Kevin", "Ushey", role = c("cph"), email = "kevinushey@gmail.com"))
knitr, rmarkdown, miniUI, shiny (>= 0.11), shinyFiles (>=
0.6.0), tinytest

miniUI, shiny (>= 0.11), shinyFiles (>= 0.6.0), tinytest

Functions to carry out the most important crystallographic calculations for crystal
structures made of 1d Gaussian-shaped atoms, especially useful for methods development.
Main reference: E. Smith, G. Evans, J. Foadi (2017) <doi:10.1088/1361-6404/aa8188>.

Create an HTML Vertical Timeline from a Data Frame in
'rmarkdown' and 'shiny'
Creates an HTML vertical timeline from a data frame as an input for
'rmarkdown' documents and 'shiny' applications.

A device closing function which is able to crop graphics (e.g.,
PDF, PNG files) on Unix-like operating systems with the required underlying
command-line tools installed.
person(given = "Marius", family = "Hofert", role = c("aut", "cre"),
email = "marius.hofert@uwaterloo.ca")

Estimation of crop water demand can be processed via this package. As example, the data  from 'TerraClimate' dataset (<http://www.climatologylab.org/terraclimate.html>) calibrated with automatic weather stations of National Meteorological Institute of Brazil is available in a coarse spatial resolution to do the crop water demand. However, the user have also the option to download the variables directly from 'TerraClimate' repository with the download.terraclimate function  and access the original 'TerraClimate' products. If the user believes that is necessary calibrate the variables, there is another function to do it. Lastly, the estimation of the crop water demand present in this package can be run for all the Brazilian territory with 'TerraClimate' dataset.
dplyr(>= 0.3.0.1), ggplot2(>= 3.3.2), extrafont, raster,
rgdal, tidyr, ncdf4