StormR

StormR: An R package to quantify and map the tropical storms and cyclones’ winds characteristics - Published in JOSS (2024)

https://github.com/umr-amap/stormr

Keywords

cyclones-behaviour r tropical-storms

Keywords from Contributors

spatial-analysis climate climate-science mesh

Last synced: 4 months ago · JSON representation

Repository

Funtions to quantify and map the tropical storms and cyclones’ winds characteristics'

Basic Info

Host: GitHub
Owner: umr-amap
License: gpl-3.0
Language: R
Default Branch: master
Homepage: https://umr-amap.github.io/StormR/
Size: 98.8 MB

Statistics

Stars: 17
Watchers: 3
Forks: 5
Open Issues: 5
Releases: 6

Topics

cyclones-behaviour r tropical-storms

Created about 3 years ago · Last pushed 5 months ago

Metadata Files

Readme Changelog License Codemeta

StormR R package

GitHub Release

Overview

StormR is an R package allowing to easily extract storm track data for given locations or areas of interests, to generate wind speed and direction fields, and to compute summary statistics characterising the behaviour of winds generated by tropical storms and cyclones: maximum sustained wind speed, power dissipation index, and duration of exposure to winds reaching defined speed thresholds.

Usage

Installing StormR

StormR is now available on CRAN on version 0.2.1. You can install it as follows:

r install.packages("StormR")

The latest development version can be installed from GitHub as follows,

``` r

install.packages("devtools")

devtools::install_github("umr-amap/StormR") ```

Loading StormR package

r library(StormR)

Main functions

| Name | Description | Inputs | Outputs | |:--:|:----:|:-----------:|:-----:| |defStormsDataset()|Creates a stormsDataset object|".nc" (NetCDF) file|stormsDataset object| |defStormsList()|Extracts storms|stormsDataset object|stormsList object| |plotStorms()|Plots storms track data|stormsList object|| |temporalBehaviour()|Computes wind speed, direction time series, and summary statistics for a given set of point coordinates |stormsList object|lists of data.frame objects| |spatialBehaviour()|Computes 2D wind fields and summary statistics over a given location of interest |stormsList object|SpatRaster object| |plotBehaviour()|Plots 2D wind fields and summary statistics|stormsList + SpatRaster objects|| |writeRast()|Exports wind fields and summary statistics to file|SpatRaster object|.tiff or .nc file|

Contributing

You are welcome to contribute to the StormR package. Just fork the project and create a pull request with your changes and we will review it as soon as possible.

Reporting issues

Issues can be reported here. Simply choose the appropriate template and fill in the requested information.

Seeking help

If you need help with the StormR package, please open a new discussion on the Q&A section on github. We will do our best to answer your questions. Other users are also welcome to help you.

Funding

This work was supported by Hermon Slade Foundation, grant HSF 19105.

Owner

Name: UMR AMAP
Login: umr-amap
Kind: organization
Email: amap-dev@cirad.fr
Location: Montpellier, France

Website: http://amap.cirad.fr
Twitter: UmrAmap
Repositories: 4
Profile: https://github.com/umr-amap

Botanique et modélisation de l'architecture des plantes et des végétations

JOSS Publication

StormR: An R package to quantify and map the tropical storms and cyclones’ winds characteristics

Published

January 11, 2024

DOI

10.21105/joss.05766

Volume 9, Issue 93, Page 5766

Authors

Baptiste Delaporte
Independent Researcher, France

Thomas Arsouze

CIRAD, UMR AMAP, F‐34398 Montpellier, France, AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France

Gunnar Keppel

AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France, UniSA STEM and Future Industries Institute, University of South Australia, GPO Box 2471, Adelaide, SA 5001, Australia

Swen Jullien

Ifremer, Univ. Brest, CNRS, IRD, Laboratoire d'Océanographie Physique et Spatiale (LOPS), IUEM, Plouzané, France

Christophe Menkes

ENTROPIE, IRD, CNRS, Ifremer, Université de la Réunion, Université de la Nouvelle-Calédonie

Thomas Ibanez

AMAP, Univ Montpellier, CIRAD, CNRS, INRAE, IRD, Montpellier, France

Editor

Hugo Ledoux

CodeMeta (codemeta.json)

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  "dateCreated": "2022-10-21",
  "dateModified": "2024-09-04",
  "datePublished": "2023-05-11",
  "description": "Functions to quantify and map the behaviour of winds generated by tropical storms and cyclones in space and time.",
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GitHub Events

Total

Issues event: 4
Watch event: 3
Delete event: 6
Issue comment event: 3
Push event: 12
Pull request event: 11
Create event: 4

Last Year

Issues event: 4
Watch event: 3
Delete event: 6
Issue comment event: 3
Push event: 12
Pull request event: 11
Create event: 4

Committers

Last synced: 5 months ago

All Time

Total Commits: 754
Total Committers: 7
Avg Commits per committer: 107.714
Development Distribution Score (DDS): 0.275

Past Year

Commits: 20
Committers: 2
Avg Commits per committer: 10.0
Development Distribution Score (DDS): 0.3

Top Committers

Name	Email	Commits
BaptisteDlp	b**e@p**m	547
thomasarsouze	t**e@z**m	133
Thomas Ibanez	t**z@i**r	61
dependabot[bot]	4****]	6
GunnarKeppel	1****l	4
Kristen Thyng	k**g@g**m	2
Hugo Ledoux	h**x@t**l	1

Committer Domains (Top 20 + Academic)

tudelft.nl: 1 ird.fr: 1 zoho.com: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 77
Total pull requests: 25
Average time to close issues: about 2 months
Average time to close pull requests: 17 days
Total issue authors: 10
Total pull request authors: 6
Average comments per issue: 1.48
Average comments per pull request: 1.4
Merged pull requests: 21
Bot issues: 0
Bot pull requests: 10

Past Year

Issues: 4
Pull requests: 10
Average time to close issues: 3 days
Average time to close pull requests: 16 days
Issue authors: 4
Pull request authors: 2
Average comments per issue: 1.5
Average comments per pull request: 0.0
Merged pull requests: 10
Bot issues: 0
Bot pull requests: 9

View more stats

Top Authors

Issue Authors

thomaspibanez (31)
thomasarsouze (22)
BaptisteDlp (12)
epingchris (2)
jbcannon (2)
riskiem (1)
highamm (1)
BivGEV (1)
MG-MP24 (1)
har4507 (1)

Pull Request Authors

dependabot[bot] (15)
thomasarsouze (11)
BaptisteDlp (9)
hugoledoux (1)
kthyng (1)
jbcannon (1)

Top Labels

Issue Labels

bug (23) enhancement (21) documentation (11) question (6) invalid (4) tests (3) minor (2) help wanted (2)

Pull Request Labels

dependencies (15) github_actions (2) documentation (1)

Packages

Total packages: 3
Total downloads:
- cran 170 last-month

Total dependent packages: 0
(may contain duplicates)
Total dependent repositories: 0
(may contain duplicates)
Total versions: 12
Total maintainers: 1

proxy.golang.org: github.com/umr-amap/StormR

Documentation: https://pkg.go.dev/github.com/umr-amap/StormR#section-documentation
License: gpl-3.0
Latest release: v0.2.2
published over 1 year ago

Versions: 5
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent packages count: 5.4%

Average: 5.6%

Dependent repos count: 5.8%

Last synced: 4 months ago

proxy.golang.org: github.com/umr-amap/stormr

Documentation: https://pkg.go.dev/github.com/umr-amap/stormr#section-documentation
License: gpl-3.0
Latest release: v0.2.2
published over 1 year ago

Versions: 5
Dependent Packages: 0
Dependent Repositories: 0

Rankings

Dependent packages count: 5.4%

Average: 5.6%

Dependent repos count: 5.8%

Last synced: 4 months ago

cran.r-project.org: StormR

Analyzing the Behaviour of Wind Generated by Tropical Storms and Cyclones

Homepage: https://umr-amap.github.io/StormR/
Documentation: http://cran.r-project.org/web/packages/StormR/StormR.pdf
License: GPL (≥ 3)
Latest release: 0.2.1
published over 1 year ago

Versions: 2
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 170 Last month

Rankings

Dependent packages count: 28.7%

Dependent repos count: 36.8%

Average: 50.5%

Downloads: 86.1%

Maintainers (1)

thomas.arsouze@cirad.fr

Last synced: 4 months ago

StormR

Science Score: 95.0%

Keywords

Keywords from Contributors

Repository

Basic Info

Statistics

Topics

Metadata Files

README.md

StormR R package

Overview

Usage

Installing StormR

install.packages("devtools")

Loading StormR package

Main functions

Contributing

Reporting issues

Seeking help

Funding

Owner

JOSS Publication

StormR: An R package to quantify and map the tropical storms and cyclones’ winds characteristics

Authors

Editor

Tags

CodeMeta (codemeta.json)

GitHub Events

Total

Last Year

Committers

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

Issues and Pull Requests

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

proxy.golang.org: github.com/umr-amap/StormR

Rankings

proxy.golang.org: github.com/umr-amap/stormr

Rankings

cran.r-project.org: StormR

Rankings

Maintainers (1)