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The R Language as a Tool for Biometeorological Research

Laboratory of General and Agricultural Meteorology, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece
Atmosphere 2020, 11(7), 682; https://doi.org/10.3390/atmos11070682
Received: 11 June 2020 / Revised: 24 June 2020 / Accepted: 27 June 2020 / Published: 28 June 2020
(This article belongs to the Special Issue Challenges in Applied Human Biometeorology)
R is an open-source programming language which gained a central place in the geosciences over the last two decades as the primary tool for research. Now, biometeorological research is driven by the diverse datasets related to the atmosphere and other biological agents (e.g., plants, animals and human beings) and the wide variety of software to handle and analyse them. The demand of the scientific community for the automation of analysis processes, data cleaning, results sharing, reproducibility and the capacity to handle big data brings a scripting language such as R in the foreground of the academic universe. This paper presents the advantages and the benefits of the R language for biometeorological and other atmospheric sciences’ research, providing an overview of its typical workflow. Moreover, we briefly present a group of useful and popular packages for biometeorological research and a road map for further scientific collaboration on the R basis. This paper could be a short introductory guide to the world of the R language for biometeorologists. View Full-Text
Keywords: reproducible science; coding; data analysis; research dissemination reproducible science; coding; data analysis; research dissemination
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MDPI and ACS Style

Charalampopoulos, I. The R Language as a Tool for Biometeorological Research. Atmosphere 2020, 11, 682.

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