https://github.com/clayton33/csasatlphys

R package that supports DFO Maritimes Physical Oceanography CSAS analysis

https://github.com/clayton33/csasatlphys

Science Score: 26.0%

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  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.2%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

R package that supports DFO Maritimes Physical Oceanography CSAS analysis

Basic Info
  • Host: GitHub
  • Owner: clayton33
  • Language: R
  • Default Branch: master
  • Size: 50.9 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 6 years ago · Last pushed over 1 year ago
Metadata Files
Readme

README.md

csasAtlPhys

The csasAtlPhys R package supports DFO Atlantic region physical oceanography CSAS analysis.

About csasAtlPhys

csasAtlPhys helps support data analysis to produce data products presented in the research document that summarizes the meteorological and physical oceanographic conditions on the Scotian shelf and Gulf of Maine, as seen here.

This package mainly has functionality to download and read various data sources around the web. It also has some basic plotting methods used to produce consistent plots required for the document. In addition, it had some functions for some types of calculations. Various files that are critical for various aspects of the analysis also reside in this package to insure that they are never lost.

Please note that this package does not have any figures or data output for the analysis described above.

This package is in active development, and due to the nature of the package, there is no plan at this time to submit to CRAN. For users to who wish to install the package, the can do so by

library(remotes) remotes::install_github(repo = "clayton33/csasAtlPhys", ref = "master")

this package is dependent on the oce package, so it is also best to have the most up to date, the develop, version of the package. Instructions on updating that package is similar, and are summarized here.

Owner

  • Name: Chantelle Layton
  • Login: clayton33
  • Kind: user
  • Location: Moncton, NB

Oceanographer at the Bedford Institute of Oceanography

GitHub Events

Total
  • Push event: 4
Last Year
  • Push event: 4

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 90
  • Total Committers: 3
  • Avg Commits per committer: 30.0
  • Development Distribution Score (DDS): 0.433
Past Year
  • Commits: 10
  • Committers: 1
  • Avg Commits per committer: 10.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Chantelle Layton l****e@g****m 51
Layton L****C@E****a 28
Layton C****n@d****a 11
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: over 1 year ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total 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
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
Pull Request Authors
Top Labels
Issue Labels
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Dependencies

DESCRIPTION cran
  • R >= 3.6.0 depends
  • RCurl * imports
  • XML * imports
  • dplyr * imports
  • methods * imports
  • ncdf4 * imports
  • oce * imports
  • readxl * imports
  • rvest * imports
  • smatr * imports
  • sp * imports
  • viridis * imports
  • xml2 * imports
  • R.utils * suggests