forest-risks
statistical models of forest carbon potential and risks
Science Score: 59.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
2 of 13 committers (15.4%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (16.3%) to scientific vocabulary
Keywords from Contributors
Repository
statistical models of forest carbon potential and risks
Basic Info
- Host: GitHub
- Owner: carbonplan
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://carbonplan.org/research/forest-risks-explainer
- Size: 11.2 MB
Statistics
- Stars: 35
- Watchers: 5
- Forks: 8
- Open Issues: 13
- Releases: 0
Metadata Files
README.md
carbonplan / forest-risks
forest carbon potential and risks
This repository includes our libraries and scripts for mapping forest carbon potential and risks.
install
shell
pip install carbonplan[forest-risks]
usage
This codebase is organized into modules that implement data loading and model fitting as well as utitlies for plotting and other common tasks. Most anlayses involve some combination of the load and fit modules.
The scripts folder contains tools to import data, run models, and parse results.
The regrid.py and convert.py scripts are for converting the results to zarr files for storage and geojson for visualization purposes.
Several notebooks are additionally provided that show the use of these tools for fitting models and inspecting model outputs. Notebooks are organized by the model type, e.g. biomass, fire, etc.
data products
As part of this project we have created derived data products for five key variables relevant to evaluating forest carbon storage potential and risks.
- biomass The potential carbon storage in forests assuming continued growth of existing forests.
- fire The risks associated with forest fires.
- drought The risk to forests from insect-related tree mortality.
- insects The risk to forests from insect-related tree mortality.
Gridded rasters for each of these layers are available for the continental United States at a 4km spatial scale. For biomass and fire, projections are shown through the end of the 21st century in decadal increments. Drought and insect models are still in development so we currently only show historical risks for these disturbance types. All data are accessible via this catalog. Additional formats and download options will be provided in the future.
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 nonprofit organization that uses data and science for climate action. We aim to improve the transparency and scientific integrity of climate solutions with 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:
- Bill Anderegg (@anderegg)
- Grayson Badgley (@badgley)
- Anna Trugman
Owner
- Name: carbonplan
- Login: carbonplan
- Kind: organization
- Email: hello@carbonplan.org
- Location: earth
- Website: carbonplan.org
- Twitter: carbonplanorg
- Repositories: 116
- Profile: https://github.com/carbonplan
Data and science for climate action
GitHub Events
Total
- Watch event: 2
- Issue comment event: 1
- Push event: 35
Last Year
- Watch event: 2
- Issue comment event: 1
- Push event: 35
Committers
Last synced: 10 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| freeman-lab | t****b@g****m | 111 |
| Oriana Chegwidden | o****c@u****u | 91 |
| Joseph Hamman | j****n@u****u | 39 |
| dependabot[bot] | 4****] | 22 |
| Joe Hamman | j****e@c****g | 17 |
| badgley | b****y@g****m | 11 |
| badgley | g****y@g****m | 6 |
| Max Jones | 1****s | 2 |
| pre-commit-ci[bot] | 6****] | 2 |
| Joe Hamman | j****1@g****m | 1 |
| Joe Hand | j****e@h****l | 1 |
| Kata Martin | k****m@g****m | 1 |
| Raphael Hagen | n****n@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 5
- Total pull requests: 125
- Average time to close issues: 11 months
- Average time to close pull requests: 3 months
- Total issue authors: 3
- Total pull request authors: 10
- Average comments per issue: 1.4
- Average comments per pull request: 0.52
- Merged pull requests: 41
- Bot issues: 0
- Bot pull requests: 100
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- jhamman (3)
- orianac (1)
- mishagrol (1)
Pull Request Authors
- dependabot[bot] (96)
- orianac (7)
- badgley (7)
- pre-commit-ci[bot] (4)
- jhamman (4)
- norlandrhagen (2)
- freeman-lab (2)
- joehand (1)
- andersy005 (1)
- katamartin (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 27 last-month
- Total dependent packages: 1
- Total dependent repositories: 1
- Total versions: 2
- Total maintainers: 3
pypi.org: carbonplan-forest-risks
forest carbon potential and risks
- Homepage: https://github.com/carbonplan/forest-risks
- Documentation: https://carbonplan-forest-risks.readthedocs.io/
- License: MIT
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Latest release: 1.0.0
published about 5 years ago
Rankings
Maintainers (3)
Dependencies
- pytest * development
- pytest-cov * development
- pytest-sugar * development
- altair *
- altair-data-server *
- carbonplan *
- dask *
- fastparquet *
- fsspec *
- google-cloud-storage *
- intake *
- intake-geopandas *
- intake-xarray *
- netcdf4 *
- networkx *
- pandas *
- pytest *
- rasterio *
- scikit-learn *
- tenacity *
- urlpath *
- vega_datasets *
- xarray *
- zarr *
- actions/checkout v2.4.0 composite
- actions/setup-python v2.3.1 composite
- conda-incubator/setup-miniconda v2.1.1 composite
- crazy-max/ghaction-docker-meta v3.6.1 composite
- docker/build-push-action v2 composite
- docker/login-action v1 composite
- docker/setup-buildx-action v1.6.0 composite
- docker/setup-qemu-action v1 composite
- pre-commit/action v2.0.3 composite
- $BASE_CONTAINER latest build
- pangeo/base-image 2020.10.27 build
- carbonplan *
- carbonplan-data *
- carbonplan-forests *
- carbonplan-styles *
- numbagg *
- showit *