packages.bib

@misc{albers2020,
  title = {Rsoi: {{Import Various Northern}} and {{Southern Hemisphere Climate Indices}}},
  shorttitle = {Rsoi},
  author = {Albers, Sam and Campitelli, Elio},
  year = {2020},
  month = aug,
  abstract = {Downloads Southern Oscillation Index, Oceanic Nino Index, North Pacific Gyre Oscillation data, North Atlantic Oscillation and Arctic Oscillation. Data sources are described in the help files for each function.},
  copyright = {GPL-3},
  keywords = {Hydrology}
}

@manual{allaire2019,
  title = {Markdown: {{Render}} Markdown with the c Library 'Sundown'},
  author = {Allaire, JJ and Horner, Jeffrey and Xie, Yihui and Marti, Vicent and Porte, Natacha},
  year = {2019},
  type = {Manual}
}

@misc{allaire2020,
  title = {Rmarkdown: {{Dynamic Documents}} for {{R}}},
  shorttitle = {Rmarkdown},
  author = {Allaire, J. J. and Xie  [aut, Yihui and {cre} and McPherson, Jonathan and Luraschi, Javier and Ushey, Kevin and Atkins, Aron and Wickham, Hadley and Cheng, Joe and Chang, Winston and Iannone, Richard and Dunning, Andrew and {filter)}, Atsushi Yasumoto (Number sections Lua and Schloerke, Barret and Dervieux, Christophe and Aust, Frederik and Allen, Jeff and Seo, JooYoung and Barrett, Malcolm and Hyndman, Rob and Lesur, Romain and Storey, Roy and Arslan, Ruben and Oller, Sergio and RStudio and PBC and {library)}, jQuery Foundation (jQuery and library; authors listed in {inst/rmd/h/jquery-AUTHORS.txt)}, jQuery contributors (jQuery and library; authors listed in {inst/rmd/h/jqueryui-AUTHORS.txt)}, jQuery UI contributors (jQuery UI and {library)}, Mark Otto (Bootstrap and {library)}, Jacob Thornton (Bootstrap and {library)}, Bootstrap contributors (Bootstrap and Twitter and {library)}, Inc (Bootstrap and {library)}, Alexander Farkas (html5shiv and js {library)}, Scott Jehl (Respond and js {library)}, Ivan Sagalaev (highlight and {library)}, Greg Franko (tocify and {templates)}, John MacFarlane (Pandoc and Google and {library)}, Inc (ioslides and {library)}, Dave Raggett (slidy and {library)}, W3C (slidy and {Gandy  (Font-Awesome)}, Dave and Sperry  (Ionicons), Ben and Drifty (Ionicons) and StickyTabs), Aidan Lister (jQuery and {filter)}, Benct Philip Jonsson (pagebreak Lua and {filter)}, Albert Krewinkel (pagebreak Lua},
  year = {2020},
  month = sep,
  abstract = {Convert R Markdown documents into a variety of formats.},
  copyright = {GPL-3},
  keywords = {ReproducibleResearch}
}

@misc{campitelli2020,
  title = {{{metR}}: {{Tools}} for {{Easier Analysis}} of {{Meteorological Fields}}},
  shorttitle = {{{metR}}},
  author = {Campitelli, Elio},
  year = {2020},
  month = apr,
  abstract = {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.},
  copyright = {GPL-3}
}

@misc{dowle2020,
  title = {Data.Table: {{Extension}} of 'Data.Frame'},
  shorttitle = {Data.Table},
  author = {Dowle, Matt and Srinivasan, Arun},
  year = {2020},
  month = jul,
  abstract = {Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns, friendly and fast character-separated-value read/write. Offers a natural and flexible syntax, for faster development.},
  copyright = {MPL-2.0 | file LICENSE},
  keywords = {Finance,HighPerformanceComputing,TimeSeries}
}

@misc{hufkens2020,
  title = {Ecmwfr: {{Programmatic}} Interface to the Two {{European Centre}} for {{Medium}}-{{Range Weather Forecasts API}} Services},
  shorttitle = {Ecmwfr},
  author = {Hufkens, Koen},
  year = {2020},
  month = jul,
  abstract = {Programmatic interface to the European Centre for Medium-Range Weather Forecasts dataset web services (ECMWF; {$<$}https://www.ecmwf.int/{$>$}) and Copernicus's Climate Data Store (CDS; {$<$}https://cds.climate.copernicus.eu{$>$}). Allows for easy downloads of weather forecasts and climate reanalysis data in R.},
  collaborator = {Stauffer, Reto and Campitelli, Elio},
  copyright = {AGPL-3}
}

@manual{rcoreteam2020,
  title = {R: {{A}} Language and Environment for Statistical Computing},
  author = {{R Core Team}},
  year = {2020},
  address = {{Vienna, Austria}},
  organization = {{R Foundation for Statistical Computing}},
  type = {Manual}
}

@book{wickham2009,
  title = {Ggplot2: {{Elegant Graphics}} for {{Data Analysis}}},
  shorttitle = {Ggplot2},
  author = {Wickham, Hadley},
  year = {2009},
  publisher = {{Springer-Verlag}},
  address = {{New York}},
  doi = {10.1007/978-0-387-98141-3},
  abstract = {This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkison's Grammar of Graphics to create a powerful and flexible system for creating data graphics. With ggplot2, it's easy to: produce handsome, publication-quality plots, with automatic legends created from the plot specification superpose multiple layers (points, lines, maps, tiles, box plots to name a few) from different data sources, with automatically adjusted common scales add customisable smoothers that use the powerful modelling capabilities of R, such as loess, linear models, generalised additive models and robust regression save any ggplot2 plot (or part thereof) for later modification or reuse create custom themes that capture in-house or journal style requirements, and that can easily be applied to multiple plots approach your graph from a visual perspective, thinking about how each component of the data is represented on the final plot This book will be useful to everyone who has struggled with displaying their data in an informative and attractive way. You will need some basic knowledge of R (i.e. you should be able to get your data into R), but ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page. Hadley Wickham is an Assistant Professor of Statistics at Rice University, and is interested in developing computational and cognitive tools for making data preparation, visualization, and analysis easier. He has developed 15 R packages and in 2006 he won the John Chambers Award for Statistical Computing for his work on the ggplot and reshape R packages.},
  isbn = {978-0-387-98141-3},
  language = {en},
  series = {Use {{R}}!}
}

@book{xie2015,
  title = {Dynamic Documents with {{R}} and Knitr},
  author = {Xie, Yihui},
  year = {2015},
  edition = {Second},
  publisher = {{Chapman and Hall/CRC}},
  address = {{Boca Raton, Florida}}
}