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

Daniel Busch 9d44195bdb [DATALAD] Recorded changes hace 2 semanas
.datalad bd86520a11 [DATALAD] new dataset hace 2 meses
.github b29152bc98 [DATALAD] Recorded changes hace 1 mes
changelog a6f197f5c5 changelog hace 1 mes
docs 4dfc700825 [DATALAD] Recorded changes hace 2 meses
downloaded_data 854a0e1a43 clean up hace 1 mes
extracted_data eb76af36f1 [DATALAD] Recorded changes hace 2 semanas
notebooks d9ac413941 [DATALAD] Recorded changes hace 3 semanas
scripts 5d05f265fe [DATALAD] Recorded changes hace 1 mes
src d9ac413941 [DATALAD] Recorded changes hace 3 semanas
stubs 4dfc700825 [DATALAD] Recorded changes hace 2 meses
tests 9d44195bdb [DATALAD] Recorded changes hace 2 semanas
.copier-answers.yml 4dfc700825 [DATALAD] Recorded changes hace 2 meses
.gitattributes 78d595a0a8 git attributes to include zip files hace 2 meses
.gitignore 4dfc700825 [DATALAD] Recorded changes hace 2 meses
.pre-commit-config.yaml 72589ed42b pre commit hace 1 mes
.readthedocs.yaml 4dfc700825 [DATALAD] Recorded changes hace 2 meses
LICENCE 4dfc700825 [DATALAD] Recorded changes hace 2 meses
Makefile 05e714be73 [DATALAD] Recorded changes hace 1 mes
README.md 4dfc700825 [DATALAD] Recorded changes hace 2 meses
conversion_FAO_IPPCC2006_PRIMAP_CH4.csv a575f52a69 [DATALAD] Recorded changes hace 3 semanas
conversion_FAO_IPPCC2006_PRIMAP_CO2.csv 2907e51c45 [DATALAD] Recorded changes hace 3 semanas
conversion_FAO_IPPCC2006_PRIMAP_N2O.csv 2907e51c45 [DATALAD] Recorded changes hace 3 semanas
dodo.py e7977d02b2 [DATALAD] Recorded changes hace 1 mes
poetry.lock d9ac413941 [DATALAD] Recorded changes hace 3 semanas
pyproject.toml d9ac413941 [DATALAD] Recorded changes hace 3 semanas
requirements.txt ee91f79fd7 [DATALAD] Recorded changes hace 3 semanas

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).