Climate and housing

Visualises how heating and cooling needs are changing in Australian homes, and how renters are coping with the changes.

🎨 Share the visuals

The visuals created from this analysis are available on Flourish for you to add to a story or to duplicate and edit:

Average energy star rating map

Heating and cooling hours: present and future

Renters struggling in summer heat/winter cold

Use + Remix rights

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 comes from:

• Typical Meteorological Year weather files for building energy modelling, CSIRO
• Projected weather files for building energy modelling, CSIRO
• Australian Housing Condition Data Infrastructure
• NatHERS

Please attribute 360info and the data sources when you use and remix these visualisations.

Reproduce the analysis

💨 Quickstart: use the dev container

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.

1. Launch this project in GitHub Codespaces
2. 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 render.

However, some of the scripts require source data that we cannot include in the repository for either size reasons or privacy reasons (see /data). You may need to add these files to the data folder before the scripts will run.

You can, however, do additional analysis on the tidied and aggregated results. Analysis scripts are in analysis/**/*.qmd.

Manual setup

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 renv package with install.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.)

Help

If you find any problems with our analysis or charts, please feel free to create an issue!