https://github.com/bluegreen-labs/r_tutorials

R tutorials in processing and visualization of environmental data
https://github.com/bluegreen-labs/r_tutorials

dataviz mapping modelling rstats

Last synced: about 1 year ago
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R tutorials in processing and visualization of environmental data

• Host: GitHub
• URL: https://github.com/bluegreen-labs/r_tutorials
• Owner: bluegreen-labs
• License: other
• Created: 2020-07-09T15:30:27.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2022-11-26T17:01:51.000Z (over 3 years ago)
• Last Synced: 2025-03-24T04:43:37.720Z (over 1 year ago)
• Topics: dataviz, mapping, modelling, rstats
• Language: R
• Homepage: https://bluegreenlabs.org/categories/tutorial/
• Size: 49.1 MB
• Stars: 13
• Watchers: 1
• Forks: 3
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
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# R tutorials in processing and visualization of environmental data 

This is a repository containing all tutorials as highlighted in our [blog](https://bluegreenlabs.org/categories/tutorial/). The code is well annotated but for more context we refer to our blog posts.

## How to cite these code snippets in your article

You can cite this code as "We used processing / vizualization as outlined in Hufkens & Kearsley (2022)". With the following bibliographic reference to include in your reference list:

> Hufkens, K. & E. Kearsley. BlueGreen Labs (2022). (Version v1.2.0). R tutorials in processing and visualization of environmental data. Zenodo. [http://doi.org/10.5281/zenodo.7004926](http://doi.org/10.5281/zenodo.7004926).