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

{"references": ["Pebesma E., D. N\u00fcst and R. Bivand, 2012. The R software environment in reproducible geoscientific research, Eos Trans. AGU, 93(16), 163. doi: 10.1029/2012EO160003", "Dietze M., S. Kreutzer, O. Korup, 2017. R's deliberate role in Earth sciences, PICO session at EGU 2017, http://meetingorganizer.copernicus.org/EGU2017/session/24971", "Boettiger, C. and D. Eddelbuettel, 2017. An Introduction to Rocker: Docker Containers for R. The R Journal, RJ-2017-065. https://rjournal.github.io/archive/2017/RJ-2017-065/index.html", "Rocker, 2017. rocker/geospatial on the Docker Hub image registry. https://hub.docker.com/r/rocker/geospatial/"]}