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

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FrEDI estimates annual physical and economic impacts from temperature to the U.S., through the 21st century

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.


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Commits in past year: 318
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Name Email Commits
Karen Noiva k****a@i****m 646
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Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 64
Total pull requests: 192
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: 176
Bot issues: 0
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Past year issues: 26
Past year pull requests: 66
Past year average time to close issues: 2 months
Past year average time to close pull requests: 1 day
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: 0.21
Past year merged pull request: 62
Past year bot issues: 0
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More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/USEPA/FrEDI

Top Issue Authors

  • knoiva-indecon (30)
  • cahartin (15)
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Top Pull Request Authors

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Top Issue Labels

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Dependencies

FrEDI/DESCRIPTION cran
  • R >= 3.5.0 depends
  • dplyr * depends
  • ggplot2 * depends
  • openxlsx * depends
  • tidyr * depends
  • knitr * suggests
  • prettydoc * suggests
  • rmarkdown * suggests
.github/workflows/greetings.yml actions
  • actions/first-interaction v1 composite

Score: 5.37989735354046