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Commonly used codes, categories, terminologies, and nomenclatures used in climate policy analysis as a Python package.
.. image:: https://img.shields.io/pypi/v/climate_categories.svg :target: https://pypi.python.org/pypi/climate_categories
.. image:: https://readthedocs.org/projects/climate-categories/badge/?version=latest :target: https://climate-categories.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status
.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.4590232.svg :target: https://doi.org/10.5281/zenodo.4590232
Commonly used codes, categories, terminologies, and nomenclatures used in climate policy analysis in a nice Python package. The documentation can be found at: https://climate-categories.readthedocs.io.
=============== ================================================================== Name Title
IPCC1996 IPCC GHG emission categories (1996) IPCC2006 IPCC GHG emission categories (2006) IPCC2006_PRIMAP IPCC GHG emission categories (2006) with additional categories CRF1999 Common Reporting Format GHG emissions categories (1999) CRF2013 Common Reporting Format GHG emissions categories (2013) CRF2013_2021 CRF categories extended with country specific categories from 2021 submissions CRF2013_2022 CRF categories extended with country specific categories from 2022 submissions CRF2013_2023 CRF categories extended with country specific categories from 2023 submissions BURDI BUR GHG emission categories (DI query interface) BURDI_class BUR GHG emission categories (DI query interface) + classifications CRFDI CRF GHG emission categories (DI query interface) CRFDI_class CRF GHG emission categories (DI query interface) + classifications GCB Global Carbon Budget CO2 emission categories RCMIP RCMIP emissions categories gas Gases and other climate-forcing substances ISO3 Countries, country groups, and other areas from ISO 3166 ISO3_GCAM dito, plus regions used by the GCAM integrated assessment model =============== ==================================================================
Climate categories is still in development and the API and names of categorizations are still subject to change.
Copyright 2021, Potsdam-Institut für Klimafolgenforschung e.V.
Copyright 2021, Robert Gieseke
Copyright 2023-2024, Climate Resource Pty Ltd
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
https://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
If you use this library and want to cite it, please cite it as:
Mika Pflüger, Annika Günther, Johannes Gütschow, and Robert Gieseke. (2024-10-23). primap-community/climate_categories: climate_categories Version 0.10.2. Zenodo. https://doi.org/10.5281/zenodo.13982829
Reduced Complexity Model Intercomparison Project (RCMIP) <https://www.rcmip.org/>
_. Thanks to Robert Gieseke for the contribution and Zeb Nicholls for input.Automate changelog generation from snippets - avoids resolving merge conflicts manually
Automate github releases.
Add category "0" (National total) to IPCC1996 and IPCC2006 categorizations. While it is not in the official specification, it is widely used and adding it also enables automatically assigning a level to all other categories.
Add categorization CRF1999 used within in the common reporting framework data.
Refactor rendering of large categorizations using show_as_tree()
, adding more
clarity to alternative child sets. Add usage documentation for show_as_tree()
.
Thanks to Robert Gieseke for feedback.
Fixes for IPCC2006 categorization (and IPCC2006_PRIMAP):
Fixes for IPCC1996 categorization:
Add mechanism to describe conversions between categorizations.
Add conversion between IPCC2006 and IPCC1996.
Add algorithm to detect over counting in conversions between categorizations.
Refactor generation of IPCC2006 and IPCC1996 categorizations.
Add function to find unmapped categories in a conversion.
to_yaml()
output to ruamel.yaml so that valid, correctly typed YAML 1.2
is written. This should enable easier re-use of the data in other contexts.FAQs
Commonly used codes, categories, terminologies, and nomenclatures used in climate policy analysis as a Python package.
We found that climate-categories demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
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