FrEDI
Estimates economic damages and impacts from climate change and sea level rise through the 21st century.
https://github.com/USEPA/FrEDI
Category: Climate Change
Sub Category: Natural Hazard and Storm
Keywords
oar
Last synced: about 24 hours ago
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Repository metadata
FrEDI estimates annual physical and economic impacts from temperature to the U.S., through the 21st century
- Host: GitHub
- URL: https://github.com/USEPA/FrEDI
- Owner: USEPA
- License: other
- Created: 2021-09-13T13:28:14.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2025-05-09T20:24:23.000Z (12 days ago)
- Last Synced: 2025-05-09T20:50:17.465Z (12 days ago)
- Topics: oar
- Language: HTML
- Homepage: https://usepa.github.io/FrEDI
- Size: 3.71 GB
- Stars: 14
- Watchers: 5
- Forks: 14
- Open Issues: 17
- Releases: 10
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
README.md
FrEDI
The Framework for Evaluating Damages and Impacts (FrEDI)
FrEDI estimates the annual physical and economic impacts of temperature change to the US, through the 21st century (and optionally through 2300).
The 2024 FrEDI Technical Documentation and v4.1 of the FrEDI R package were subject to an independent external peer review and public comment period. All comments received were carefully reviewed, considered, and responded to. The final versions of the 2024 Technical Documentation and v4.1 R package were published in August 2024.
Installation
To install FrEDI for the first time:
library("devtools")
withr::with_libpaths(
new = .libPaths()[1],
devtools::install_github(
repo = "USEPA/FrEDI",
subdir = "FrEDI",
type = "source",
force = TRUE
#ref = "branch" # this will install a particular branch of interest
))
library("FrEDI")
Using FrEDI
After loading FrEDI, point FrEDI to a particular temperature file of
interest formatted year, temp_c:
tempInputFile <- file.path("your_file.csv").
You also can add in files for U.S. GDP and population.
Here we specify that the temperature inputs are global. This will
allow FrEDI to convert those temperatures to CONUS level:
inputs <- import_inputs(tempfile = tempInputFile, temptype = "global")
A simple command to run FrEDI using the inputs specified above :
df <- run_fredi(inputsList= inputs, aggLevels="all")
There are different levels to aggregate the data. By selecting "none",
FrEDI will print out all of the information and the user can then aggregate after.
Contributing to FrEDI
The FrEDI team welcomes and values community contributions, but please
see our Contribution Guide and note
by contributing to this project, you agree to abide to our Contributor
Code of Conduct.
For more information, refer to the documentation at https://www.epa.gov/cira/about-fredi and https://usepa.github.io/FrEDI.
Owner metadata
- Name: U.S. Environmental Protection Agency
- Login: USEPA
- Email:
- Kind: organization
- Description:
- Website: https://www.epa.gov
- Location: United States of America
- Twitter: EPA
- Company:
- Icon url: https://avatars.githubusercontent.com/u/1304320?v=4
- Repositories: 449
- Last ynced at: 2024-04-14T19:47:37.473Z
- Profile URL: https://github.com/USEPA
GitHub Events
Total
- Create event: 42
- Issues event: 27
- Watch event: 2
- Delete event: 36
- Member event: 1
- Issue comment event: 20
- Push event: 209
- Pull request review comment event: 41
- Pull request review event: 50
- Pull request event: 53
- Fork event: 9
Last Year
- Create event: 42
- Issues event: 27
- Watch event: 2
- Delete event: 36
- Member event: 1
- Issue comment event: 20
- Push event: 209
- Pull request review comment event: 41
- Pull request review event: 50
- Pull request event: 53
- Fork event: 9
Committers metadata
Last synced: 12 days ago
Total Commits: 917
Total Committers: 7
Avg Commits per committer: 131.0
Development Distribution Score (DDS): 0.296
Commits in past year: 318
Committers in past year: 6
Avg Commits per committer in past year: 53.0
Development Distribution Score (DDS) in past year: 0.17
| Name | Commits | |
|---|---|---|
| Karen Noiva | k****a@i****m | 646 |
| Tony Gardella | A****a@i****m | 89 |
| GitHub Actions | a****s@g****m | 64 |
| Corinne Hartin | c****n | 46 |
| Will Maddock | w****k@i****m | 44 |
| heaston-indecon | h****n@i****m | 15 |
| Erin McDuffie | m****e@e****v | 13 |
Committer domains:
- indecon.com: 4
- epa.gov: 1
- github.com: 1
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 64
Total pull requests: 193
Average time to close issues: 3 months
Average time to close pull requests: 5 days
Total issue authors: 8
Total pull request authors: 5
Average comments per issue: 1.44
Average comments per pull request: 0.24
Merged pull request: 177
Bot issues: 0
Bot pull requests: 0
Past year issues: 26
Past year pull requests: 67
Past year average time to close issues: 2 months
Past year average time to close pull requests: 2 days
Past year issue authors: 5
Past year pull request authors: 3
Past year average comments per issue: 0.69
Past year average comments per pull request: 0.22
Past year merged pull request: 63
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- knoiva-indecon (30)
- cahartin (15)
- emcduffie (9)
- tonygard-indecon (3)
- tonyewong (3)
- jwillwerth (2)
- heaston-indecon (1)
- maddockw (1)
Top Pull Request Authors
- knoiva-indecon (149)
- tonygard-indecon (32)
- cahartin (5)
- maddockw (4)
- emcduffie (3)
Top Issue Labels
- enhancement (23)
- documentation (15)
- bug (7)
- maintenance (5)
- testing (3)
- SV Module (2)
- no timeline (1)
Top Pull Request Labels
- help wanted (1)
- enhancement (1)
Dependencies
- R >= 3.5.0 depends
- dplyr * depends
- ggplot2 * depends
- openxlsx * depends
- tidyr * depends
- knitr * suggests
- prettydoc * suggests
- rmarkdown * suggests
- actions/first-interaction v1 composite
Score: 5.37989735354046