Exploring Climate Change Data with R

Nuno Guimarães (), Kimmo Vehkalahti (), Pedro Campos () and Joachim Engel ()
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Nuno Guimarães: LIAAD-INESC TEC and University of Porto
Kimmo Vehkalahti: University of Helsinki
Pedro Campos: LIAAD-INESC TEC and University of Porto
Joachim Engel: Ludwigsburg University of Education

Chapter Chapter 11 in Statistics for Empowerment and Social Engagement, 2022, pp 267-296 from Springer

Abstract: Abstract Climate change is an existential threat facing humanity and the future of our planet. The signs of global warming are everywhere, and they are more complex than just the climbing temperatures. Climate data on a massive scale has been collected by various scientific groups around the globe. Exploring and extracting useful knowledge from large quantities of data requires powerful software. In this chapter we present some possibilities for exploring and visualising climate change data in connection with statistics education using the freely accessible statistical programming language R together with the computing environment RStudio. In addition to the visualisations, we provide annotated references to climate data repositories and extracts of our openly published R scripts for encouraging teachers and students to reproduce and enhance the visualisations.

Keywords: R; Coding; Climate data; Data visualisation; Multivariate data (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-20748-8_11

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DOI: 10.1007/978-3-031-20748-8_11

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