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Change","sub_category":"Natural Hazard and Storms","monthly_downloads":227,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"# StormR R package \u003cimg src=\"man/figures/logo.png\" align=\"right\" alt=\"\" width=\"120\" /\u003e\n\n\u003c!-- badges: start --\u003e\n\n[![](https://www.r-pkg.org/badges/version/StormR?color=green)](https://cran.r-project.org/package=StormR)\n[![Conda Version](https://img.shields.io/conda/vn/conda-forge/r-stormr.svg)](https://anaconda.org/conda-forge/r-stormr)\n![GitHub Release](https://img.shields.io/github/v/release/umr-amap/StormR?color=green)\n[![](https://cranlogs.r-pkg.org/badges/grand-total/StormR)](https://cran.r-project.org/package=StormR)\n[![DOI](https://joss.theoj.org/papers/10.21105/joss.05766/status.svg)](https://doi.org/10.21105/joss.05766)\n[![codecov](https://codecov.io/github/umr-amap/StormR/branch/main/graph/badge.svg?token=5YMVL4TFB5)](https://app.codecov.io/github/umr-amap/StormR)\n![R-CMD-check](https://github.com/umr-amap/StormR/actions/workflows/check-standard.yaml/badge.svg)\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.10213689.svg)](https://doi.org/10.5281/zenodo.10213689)\n[![SWH](https://archive.softwareheritage.org/badge/origin/https://github.com/umr-amap/StormR/)](https://archive.softwareheritage.org/browse/origin/?origin_url=https://github.com/umr-amap/StormR)\n\n\u003c!-- badges: end --\u003e\n\n## Overview\n\n`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.\n\n## Usage\n\n### Installing StormR\n\n`StormR` is now [available on CRAN](https://cran.r-project.org/package=StormR) on version `0.2.1`.\nYou can install it as follows:\n\n```r\ninstall.packages(\"StormR\")\n```\n\nThe latest development version can be installed from GitHub as follows,\n\n```r\n#install.packages(\"devtools\")\ndevtools::install_github(\"umr-amap/StormR\")\n```\n\nAlternatively, you can install `StormR` using `conda` / `mamba`. Check [here](https://github.com/conda-forge/r-stormr-feedstock) for more info.\n\n```bash\nconda config --add channels conda-forge      # make sure you add conda-forge to your channel list\nconda config --set channel_priority strict\nconda install r-stormr    # or mamba install r-stormr\n```\n\n### Loading StormR package\n\n```r\nlibrary(StormR)\n```\n\n## Main functions\n\n|       **Name**        |                                             **Description**                                             |             **Inputs**              |         **Outputs**         |\n| :-------------------: | :-----------------------------------------------------------------------------------------------------: | :---------------------------------: | :-------------------------: |\n| `defStormsDataset()`  |                                    Creates a `stormsDataset` object                                     |         \".nc\" (NetCDF) file         |   `stormsDataset` object    |\n|   `defStormsList()`   |                                             Extracts storms                                             |       `stormsDataset` object        |     `stormsList` object     |\n|    `plotStorms()`     |                                         Plots storms track data                                         |         `stormsList` object         |                             |\n| `temporalBehaviour()` | Computes wind speed, direction time series, and summary statistics for a given set of point coordinates |         `stormsList` object         | lists of data.frame objects |\n| `spatialBehaviour()`  |            Computes 2D wind fields and summary statistics over a given location of interest             |         `stormsList` object         |     `SpatRaster` object     |\n|   `plotBehaviour()`   |                               Plots 2D wind fields and summary statistics                               | `stormsList` + `SpatRaster` objects |                             |\n|     `writeRast()`     |                           Exports wind fields and summary statistics to file                            |         `SpatRaster` object         |    `.tiff` or `.nc` file    |\n\n## Contributing\n\nYou 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.\n\n## Reporting issues\n\nIssues can be reported [here](https://github.com/umr-amap/StormR/issues/new/choose). Simply choose the appropriate template and fill in the requested information.\n\n## Seeking help\n\nIf you need help with the `StormR` package, please open a new discussion on the [Q\u0026A section on github](https://github.com/umr-amap/StormR/discussions/categories/q-a). We will do our best to answer your questions. Other users are also welcome to help you.\n\n## Funding\n\nThis work was supported by Hermon Slade Foundation, [grant HSF 19105](http://www.hermonslade.org.au/hsf19105/).\n","funding_links":[],"readme_doi_urls":["https://doi.org/10.21105/joss.05766","https://doi.org/10.5281/zenodo.10213689"],"works":{"https://doi.org/10.5281/zenodo.10213689":null},"citation_counts":{},"total_citations":0,"keywords_from_contributors":["transforms","measur","archiving","optimize","compose","projection","generic","animals","observation","conversion"],"project_url":"https://ost.ecosyste.ms/api/v1/projects/30470","html_url":"https://ost.ecosyste.ms/projects/30470"}