RRA Climate Health

Documentation

A collection of geospatial models examining the relationship between climate variables, socio-demographic indicators, and health outcomes.

Setting up a development environment

• Clone this repository

• Create a conda environment with python and the R dependencies for the model.

  conda create -n cgf -c conda-forge python=3.12 r r-base r-lmertest r-emmeans

• Activate the conda environment

  conda activate cgf

• Use pip to install poetry in the conda environment

  pip install poetry

• Install the dependencies

  poetry install

Pre-commit

Pre-commit hooks run all the auto-formatting (ruff format), linters (e.g. ruff and mypy), and other quality checks to make sure the changeset is in good shape before a commit/push happens.

You can install the hooks with (runs for each commit):

pre-commit install

Or if you want them to run only for each push:

pre-commit install -t pre-push

Or if you want e.g. want to run all checks manually for all files:

pre-commit run --all-files

---