weather-panel.github.io

A practical guide to climate econometrics: Navigating key decision points in weather and climate data analysis.

https://github.com/atrisovic/weather-panel.github.io

Science Score: 46.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
    1 of 9 committers (11.1%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (14.1%) to scientific vocabulary

Keywords

climate-econometrics jupyter-book python weather

Keywords from Contributors

interactive projection serializer cycles packaging charts network-simulation archival shellcodes hacking
Last synced: 6 months ago · JSON representation

Repository

A practical guide to climate econometrics: Navigating key decision points in weather and climate data analysis.

Basic Info
  • Host: GitHub
  • Owner: atrisovic
  • License: cc-by-sa-4.0
  • Language: MATLAB
  • Default Branch: master
  • Homepage: https://climateestimate.net
  • Size: 78.3 MB
Statistics
  • Stars: 41
  • Watchers: 4
  • Forks: 12
  • Open Issues: 19
  • Releases: 4
Topics
climate-econometrics jupyter-book python weather
Created over 6 years ago · Last pushed 11 months ago
Metadata Files
Readme License

README.md

Practical guide to climate econometrics

DOI status

This is a repository for a practical guide to climate econometrics available at climateestimate.net.

The primary audience for this guide is researchers and students trained in econometrics and experienced in at least one scientific programming language, such as Stata, R, Matlab, Julia, or Python. It could be used both in a teaching event, self-study or as a reference manual.

Contributing to the guide

We welcome any contributions to the guide. One way to contribute is by opening an issue in this repository. Also, you could create direct changes to the guide and make a pull request. In this case, you'll need to make your own fork of the repository, clone the fork locally, and make a new branch for your contribution. For example:

git checkout -b my-awesome-contribution

Making changes to the content

To contribute to the guide, make changes to the .md files in the tutorial-content/content folder. You could also add images or jupyter notebooks. For inspiration, see Jupyter Book and the Turing Way guide.

Testing the website

To test your contribution in the jupyter-book, you will need Python 3, i.e., Python 3.7. The following commands install the necessary dependencies in a virtual environment (env) and build a local version of the jupyter-book:

``` python3 -m venv env . env/bin/activate pip install -r requirements.txt

jupyter-book build tutorial-content/ ```

Check out the updated notebook by opening this file in a browser: tutorial-content/_build/html/index.html

Create a pull request

  1. Make sure that the jupyter-book build works on your computer and that all content looks as it should (i.e., text styles, formulas, images).
  2. Commit only changes from the content folder and make a pull request.
  3. Once the changes are reviewed and merged, the webpage will be automatically rebuilt and updated at climateestimate.net.

Thank you for your contribution!

Owner

  • Name: Ana Trisovic
  • Login: atrisovic
  • Kind: user
  • Location: Cambridge, USA
  • Company: Harvard University

Computer Scientist and #Reproducibility Researcher at @HarvardBiostats & @IQSS | previously with @UChicago, @Cambridge_Uni and @LHCbExperiment @CERN

GitHub Events

Total
  • Watch event: 9
  • Push event: 2
  • Fork event: 1
Last Year
  • Watch event: 9
  • Push event: 2
  • Fork event: 1

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 217
  • Total Committers: 9
  • Avg Commits per committer: 24.111
  • Development Distribution Score (DDS): 0.636
Past Year
  • Commits: 1
  • Committers: 1
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
James Rising j****g@g****m 79
Ana Trisovic a****c@g****m 74
Azhar Hussain a****1@g****m 24
Kevin Schwarzwald k****3@g****m 21
dependabot[bot] 4****] 14
Lorena A. Barba l****a@g****u 2
Johanna Goetzel j****a@J****l 1
Johanna Goetzel j****l@J****l 1
Edward Thomson e****n@g****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 30
  • Total pull requests: 64
  • Average time to close issues: about 1 month
  • Average time to close pull requests: about 1 month
  • Total issue authors: 5
  • Total pull request authors: 8
  • Average comments per issue: 1.67
  • Average comments per pull request: 0.55
  • Merged pull requests: 54
  • Bot issues: 0
  • Bot pull requests: 21
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
  • atrisovic (13)
  • jwagemann (7)
  • kls2177 (5)
  • jrising (4)
  • ks905383 (1)
Pull Request Authors
  • jrising (22)
  • dependabot[bot] (21)
  • ks905383 (8)
  • atrisovic (8)
  • labarba (4)
  • azharhsain (2)
  • ethomson (1)
  • burakbayramli (1)
Top Labels
Issue Labels
Pull Request Labels
dependencies (21) python (20) ruby (1)

Dependencies

requirements.txt pypi
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  • GitPython ==3.1.11
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  • requests ==2.25.0
  • six ==1.15.0
  • smmap ==3.0.4
  • snowballstemmer ==2.0.0
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  • sphinx-book-theme ==0.0.39
  • sphinx-comments ==0.0.3
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  • sphinx-togglebutton ==0.2.3
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  • sphinxcontrib-bibtex ==1.0.0
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  • tornado ==6.1
  • traitlets ==5.0.5
  • urllib3 ==1.26.5
  • wcwidth ==0.2.5
  • webencodings ==0.5.1
  • widgetsnbextension ==3.5.1
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