Opening Reproducible Research
Published April 11, 2018 | Version 1
Presentation Open

rocker/geospatial : a flexible runtime environment for geoscientific data analysis

Authors/Creators

  • 1. Institute for Geoinformatics, University of Münster
  • 2. UC Berkeley, ESPM Department, University of California, CA, USA
  • 3. Department of Statistics, University of Illinois at Urbana-Campaign, IL, USA

Contributors

  • 1. andrewchallis.co.uk
  • 2. http://adriaandokter.com/
  • 3. http://www.ecohealthalliance.org
  • 4. https://faculty.washington.edu/bmarwick/
  • 5. http://darribas.org/affiliation.html

Description

R is a free software environment for statistical computing and graphics (https://r-project.org) and also a popular tool for geospatial analysis. Docker (https://docker.com) revolutionized the way applications and their dependencies are packaged and deployed. The Rocker project (https://www.rocker-project.org/) hosts a variety of Docker images for R. One of these images is rocker/geospatial with geospatial-related tools, particularly those that can be difficult or slow to add on-the-fly.

This presentation showcases works based on rocker/geospatial and provides background how Rocker and Docker provide a basis for increased transparency and reproducibility in geosciences to tackle pressing challenges in data handling and data analysis in software development, research and teaching.

Original conference abstract: http://meetingorganizer.copernicus.org/EGU2018/EGU2018-8500.pdf

Files

EGU2018-8500_rocker_geospatial_PICO_Nüst-Boettiger-Eddelbuettel.pdf

Files (2.6 MB)

Additional details

Related works

Is supplement to
http://meetingorganizer.copernicus.org/EGU2018/EGU2018-8500.pdf (URL)

References