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

Nüst Daniel, Boettiger Carl, Eddelbuettel Dirk

Zusammenfassung

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

Projekte, aus denen die Publikation entstanden ist