Skip to main content

retrospective analysis of complience IFM projects

Project description

carbonplan / forest-offsets

analysis of forest offset projects

CI MIT License DOI

This repository includes our libraries and scripts for analyzing California's compliance forest carbon offsets program. This work is described in more detail in a web article and a preprint. See the carbonplan/forest-offsets-paper repository for Jupyter notebooks that specifically recreate all the figures in the preprint. You can also browse some of these data and results in an interactive web map.

install

From PyPI:

pip install carbonplan_forest_offsets

or from source:

pip install git+https://github.com/carbonplan/forest-offsets.git

data sources

All data sources used in this project are described in this Intake Catalog. A schematic representing the primary input datasets and outputs is shown below for reference.

offsets-dag

data products

See the following Zenodo archives for descriptions of the data products produced by this project:

environments

This project uses the Python and R programing languages. Environment specifications are included in the envs/ directory and pre-built Docker images are available on Dockerhub:

license

All the code in this repository is MIT licensed. When possible, the data used by this project is licensed using the CC-BY-4.0 license. We include attribution and additional license information for third party datasets, and we request that you also maintain that attribution if using this data.

about us

CarbonPlan is a non-profit organization that uses data and science for climate action. We aim to improve the transparency and scientific integrity of carbon removal and climate solutions through open data and tools. Find out more at carbonplan.org or get in touch by opening an issue or sending us an email.

contributors

This project is being developed by CarbonPlan staff and the following outside contributors:

  • Grayson Badgley (@badgley)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

carbonplan_forest_offsets-1.0.0.tar.gz (11.8 MB view details)

Uploaded Source

Built Distribution

carbonplan_forest_offsets-1.0.0-py3-none-any.whl (30.6 kB view details)

Uploaded Python 3

File details

Details for the file carbonplan_forest_offsets-1.0.0.tar.gz.

File metadata

  • Download URL: carbonplan_forest_offsets-1.0.0.tar.gz
  • Upload date:
  • Size: 11.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.2

File hashes

Hashes for carbonplan_forest_offsets-1.0.0.tar.gz
Algorithm Hash digest
SHA256 5ddcbbd39ec2e0f47c4a26efc11d8bc9b8cc16ef9d4dfb20407ef727f2e7b088
MD5 0bcacd71e1f360e57bbf8ac208f4a86b
BLAKE2b-256 a39922a88df53d327585587856ed66ca70022dc7669cbbe2d59c20cddf1587d7

See more details on using hashes here.

File details

Details for the file carbonplan_forest_offsets-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: carbonplan_forest_offsets-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 30.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.7.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.2

File hashes

Hashes for carbonplan_forest_offsets-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f1494b86329e78ba9f402e2476534eaa6ae03c00eba0bf4c26b92d51e96b379a
MD5 61c6e617a3e1fe244159ad0a67cf407d
BLAKE2b-256 bafd11aaec99d0f8c0c05fc8eaeb4ce40b7ddc494d8a14d2273d3a66e04db23d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page