Install Anaconda if it is not already available on your system (I recommend the lightweight Miniconda). On Arch Linux, it can be installed from the AUR:
yay -Syu miniconda3
To set up an Anaconda virtual environment with the required tools (QGIS, Python, or R), save the snippet under the relevant section as a YAML file (e.g. environment.yml). Then, run the following commands, replacing ${envname} with the name of the environment as defined in the first line of the YAML file:
conda env create --file environment.yml
conda activate ${envname}
Note
All of these packages can be installed in a single Anaconda virtual environment via the conda-forge channel (though I haven’t checked to see if there are potential conflicts).
QGIS
name: qgis
channels:
- conda-forge
- defaults
dependencies:
- python=3
- qgis
Python
name: py-geo
channels:
- conda-forge
- anaconda
dependencies:
- python=3
- geopandas
- rioxarray
- rasterstats
- scipy
- cfgrib
- netcdf4
- cdo # unavailable on Windows; use Conda with WSL
- dask # parallel computing
- pooch # to download data
- matplotlib # plotting tools
- matplotlib_scalebar
- nc-time-axis
- seaborn
- cartopy
- mapclassify
- contextily
- pyviz
- hvplot
- statsmodels
- jupyterlab # interactive notebooks
- jupyter_bokeh
- pytest # testing and linting
- flake8
- pylint
- black
- black-jupyter
R
See this post for more information about setting up R to use with JupyterLab in an Anaconda environment.
name: r-geo
channels:
- conda-forge
- r
- anaconda
dependencies:
- r-base
- r-essentials
- libgit2 # to install packages from Git repositories
- r-devtools
- r-terra
- r-rgdal
- r-sf
- r-geojsonio
- r-rgeos
- r-rastervis
- jupyterlab