agroclimatico

A set of functions for calculating hydrological climate indices and statistics from tidy data, including a function for plotting geo-referenced results and mapping information.
https://github.com/agrometeorologiainta/agroclimatico

Category: Climate Change
Sub Category: Climate Data Processing and Analysis

Keywords from Contributors

meteorologia agricultura agrometeo climate-data

Last synced: about 1 hour ago
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Committers metadata

Last synced: 6 months ago

Total Commits: 341
Total Committers: 7
Avg Commits per committer: 48.714
Development Distribution Score (DDS): 0.478

Commits in past year: 4
Committers in past year: 1
Avg Commits per committer in past year: 4.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
Pao Corrales p****s@g****m 178
Elio Campitelli e****i@g****m 152
Francisco Rodriguez-Sanchez f****c@g****m 6
Yanina y****i@g****m 2
Patrice Lecharpentier p****r@i****r 1
NatiGattinoni 6****i 1
Jeroen Ooms j****s@g****m 1

Committer domains:


Issue and Pull Request metadata

Last synced: over 1 year ago

Total issues: 50
Total pull requests: 5
Average time to close issues: 5 months
Average time to close pull requests: 17 days
Total issue authors: 5
Total pull request authors: 3
Average comments per issue: 3.44
Average comments per pull request: 0.2
Merged pull request: 5
Bot issues: 1
Bot pull requests: 0

Past year issues: 14
Past year pull requests: 1
Past year average time to close issues: 20 days
Past year average time to close pull requests: about 1 month
Past year issue authors: 1
Past year pull request authors: 1
Past year average comments per issue: 0.57
Past year average comments per pull request: 1.0
Past year merged pull request: 1
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/agrometeorologiainta/agroclimatico

Top Issue Authors

  • paocorrales (12)
  • github-actions[bot] (1)

Top Pull Request Authors

  • Pakillo (1)

Top Issue Labels

  • rOpenSci review (2)

Top Pull Request Labels

Score: 1.9459101490553132