Download and process land-use and agriculture emissions data from the FAOSTAT website

Daniel Busch 080b98c9af [DATALAD] Recorded changes 20 hours ago
.datalad bd86520a11 [DATALAD] new dataset 3 months ago
.github f8cb801c40 drop conversion from annex 1 day ago
changelog a6f197f5c5 changelog 2 months ago
docs 6880d87e42 [DATALAD] Recorded changes 3 weeks ago
downloaded_data ff0bd4ddb8 [DATALAD] Recorded changes 21 hours ago
extracted_data 1d4368d52b [DATALAD] Recorded changes 3 weeks ago
notebooks d9ac413941 [DATALAD] Recorded changes 1 month ago
scripts 5d05f265fe [DATALAD] Recorded changes 1 month ago
src 0afb77f3bb [DATALAD] Recorded changes 21 hours ago
stubs 4dfc700825 [DATALAD] Recorded changes 3 months ago
tests 0afb77f3bb [DATALAD] Recorded changes 21 hours ago
.copier-answers.yml 4dfc700825 [DATALAD] Recorded changes 3 months ago
.gitattributes 080b98c9af [DATALAD] Recorded changes 20 hours ago
.gitignore 4dfc700825 [DATALAD] Recorded changes 3 months ago
.pre-commit-config.yaml 72589ed42b pre commit 2 months ago
.readthedocs.yaml 4dfc700825 [DATALAD] Recorded changes 3 months ago
LICENCE 4dfc700825 [DATALAD] Recorded changes 3 months ago
Makefile 05e714be73 [DATALAD] Recorded changes 2 months ago
README.md 4dfc700825 [DATALAD] Recorded changes 3 months ago
conv_FAO_IPPCC2006_PRIMAP_CH4.csv 795c96e678 [DATALAD] Recorded changes 22 hours ago
conv_FAO_IPPCC2006_PRIMAP_CO2.csv 795c96e678 [DATALAD] Recorded changes 22 hours ago
conv_FAO_IPPCC2006_PRIMAP_N2O.csv 795c96e678 [DATALAD] Recorded changes 22 hours ago
dodo.py 41a762bef9 [DATALAD] Recorded changes 1 month ago
poetry.lock 2b310e3426 [DATALAD] Recorded changes 1 day ago
pyproject.toml 2b310e3426 [DATALAD] Recorded changes 1 day ago
requirements.txt 2b310e3426 [DATALAD] Recorded changes 1 day ago

README.md

FAOSTAT data

Download and process FAOSTAT data

CI Coverage Docs

PyPI : PyPI PyPI install

Other info : Licence Last Commit Contributors

Full documentation can be found at: faostat-data-primap.readthedocs.io. We recommend reading the docs there because the internal documentation links don't render correctly on GitHub's viewer.

Installation

FAOSTAT data can be installed with pip, mamba or conda:

pip install faostat-data-primap
mamba install -c conda-forge faostat-data-primap
conda install -c conda-forge faostat-data-primap

For developers

For development, we rely on poetry for all our dependency management. To get started, you will need to make sure that poetry is installed (instructions here, we found that pipx and pip worked better to install on a Mac).

For all of work, we use our Makefile. You can read the instructions out and run the commands by hand if you wish, but we generally discourage this because it can be error prone. In order to create your environment, run make virtual-environment.

If there are any issues, the messages from the Makefile should guide you through. If not, please raise an issue in the issue tracker.

For the rest of our developer docs, please see [](development-reference).