The R software environment in reproducible geoscientific research

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Edzer Pebesma - , University of Münster (Author)
  • Daniel Nüst - , 52° North Initiative for Geospatial Open Source Software GmbH (Author)
  • Roger Bivand - , Norwegian School of Economics (Author)

Abstract

Reproducibility is an important aspect of scientific research, because the credibility of science is at stake when research is not reproducible. Like science, the development of good, reliable scientific software is a social process. A mature and growing community relies on the R software environment for carrying out geoscientific research. Here we describe why people use R and how it helps in communicating and reproducing research.

Details

Original languageEnglish
Pages (from-to)163
Number of pages1
JournalEos
Volume93
Issue number16
Publication statusPublished - 2012
Peer-reviewedYes
Externally publishedYes

External IDs

ORCID /0000-0002-0024-5046/work/142255099

Keywords

ASJC Scopus subject areas

Library keywords