Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
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 month ago
JSON representation
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 (over 4 years ago)
- Default Branch: master
- Last Pushed: 2022-11-26T17:01:51.000Z (about 2 years ago)
- Last Synced: 2024-01-29T01:48:37.786Z (11 months ago)
- Topics: dataviz, mapping, modelling, rstats
- Language: R
- Homepage: https://bluegreenlabs.org/categories/tutorial/
- Size: 49.1 MB
- Stars: 9
- Watchers: 3
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
![](https://upload.wikimedia.org/wikipedia/commons/1/12/Cc-by-nc-sa_icon.svg)
# 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).