A collection of best practice examples for use by LIST team members.
- A Git / GitHub initial setup guide - set-up-GitHub.md
- Geospatial examples
- SMRA examples
The simplest (and recommended) way to use these examples is to copy and paste the code as needed into your scripts.
This repository is publicly viewable, but only members of the LIST GitHub team can interact with it.
You can open an issue to suggest a topic/method, or even to post some code.
Any new topic should have its own folder, and any scripts should be placed in that folder. Scripts should be as short as possible to illustrate the specific example.
You can contribute code through a Pull Request. A simple way to add a script is to use the GitHub new file creation tool, paste your code into the box, and include the folder name in the file name. For example, to add a new script random_forest.R to a new folder Machine_Learning, you would give it the 'file name' Machine_Learning/random_forest.R.
If possible, add or update the README.md in the topic folder.
Thanks goes to these wonderful people (emoji key):
Andrew Saul 🤔 |
Bradley Roy 💻 👀 |
Clive Greatorex 💻 👀 |
Csilla Scharle 👀 💻 |
Ditte Andersen 🐛 |
James Hayes 💻 👀 🚧 📆 |
James Kilgour 🤔 |
Kate Pyper 💻 👀 |
This project follows the all-contributors specification. Contributions of any kind welcome!