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GEOSTAT 2017 course material: Reproducible Research in Geostatistics and Geosciences with Notebooks and Containers

Authors: Nüst, Daniel;

GEOSTAT 2017 course material: Reproducible Research in Geostatistics and Geosciences with Notebooks and Containers

Abstract

Slides for a half-day session taught at the GEOSTAT summer school 2017, Split, Croatia. The first set of slides cover motivation and concepts of reproducible research, R Markdown notebooks, packaging of runtime environments, and habits for high quality, open, and transparent scholarship. The slides are archived here based on https://docs.google.com/presentation/d/1z43peRo7xXJsjTqkJBBXq4vnrRr9pxmQ-CM1L6aXe3o/edit#. The second document gives (i) a basic and hands-on introduction to Docker containers for researchers, focussing on the geospatial and R communities, and (ii) and showcases of Docker images for geospatial web services and tools and how to use them. Slides are archived here from https://docs.google.com/presentation/d/1A4piNR5ceOD3ig3qtCgnRwOAO9cooyiopX3vmxFxYFU/edit#.

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Keywords

Docker, containerisation, R Markdown, reproducible research, reproducibility

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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