Visualises the working and impacts of El Niño, how El Niño affects global and regional temperatures, and how El Niño disrupts the Indian monsoon and crop production.
These charts, as well as the analyses that underpin them, are available under a Creative Commons Attribution 4.0 licence. This includes commercial reuse and derivates.
Data in these charts and maps variously comes from:
- WMO
- NASA Earth Observatory
- NASA Physical Sciences Laboratory
- Berkeley Earth
- PBS
- Bertrand et al. (2020)
- Iese et al. (2021)
- ICRISAT
Please attribute 360info and the data sources when you use and remix these visualisations.
This project comes with a ready-to-use dev container that includes everything you need to reproduce the analysis (or do a similar one of your own!), including R and Quarto.
- Launch this project in GitHub Codespaces
- If you have Docker installed, you can build and run the container locally:
- Download or clone the project
- Open it in Visual Studio Code
- Run the Remote-Containers: Reopen in Container command
Once the container has launched (it might take a few minutes to set up the first time), you can run the analysis scripts with:
quarto renderOr look for the .qmd files to modify the analysis.
To setup a development environment manually,
You'll need to:
- Download and install Quarto
- Download the install R
- Satisfy the R package dependencies. In R:
- Install the
renvpackage withinstall.packages("renv"), - Then run
renv::restore()to install the R package dependencies. - (For problems satisfying R package dependencies, refer to Quarto's documentation on virtual environments.)
- Install the
Now, render the .qmd files to the /out directory with:
quarto renderIf you find any problems with our analysis or charts, please feel free to create an issue!