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and Hydrology","monthly_downloads":0,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"\n---\ntitle: \"Introduction to SWATprepR\"\n\u003c!-- output: rmarkdown::html_vignette --\u003e\noutput: github_document\nbibliography: vignettes/ref.bib\nvignette: \u003e\n  %\\VignetteIndexEntry{Introduction to SWATprepR}\n  %\\VignetteEngine{knitr::rmarkdown}\n  %\\VignetteEncoding{UTF-8}\ndevelopment:\n  mode: auto\n---\n\n```{r setup, include = FALSE}\nknitr::opts_chunk$set(\n  collapse = TRUE,\n  comment = \"#\u003e\",\n  fig.path = \"man/figures/\"\n)\nlibrary(badger)\n```\n\n# SWATprepR\n\n`r badge_devel(\"biopsichas/SWATprepR\", \"gold\")`\n`r badge_last_commit(\"biopsichas/SWATprepR\", \"green\")`\n`r badge_lifecycle(stage = \"stable\")`\n`r badge_repostatus(\"active\")`\n`r badge_code_size(\"biopsichas/SWATprepR\")`\n`r badge_license(\"MIT\")`\n`r badge_doi(\"https://doi.org/10.1186/s12302-024-00873-1\", \"yellow\")`\n\nThe goal of `SWATprepR` is to help with the [SWAT+ model](https://swat.tamu.edu/software/plus/) input data preparation. A detailed overview is presented in the article by @plunge2024b. Most functions were developed for the implementation of modeling tasks in the [OPTAIN project](https://www.optain.eu/). These tools are intended to fill the gaps in the SWAT+ workflow alongside the main tools developed by [Christoph Schuerz](https://www.ufz.de/index.php?en=49467). Therefore, we highly recommend trying and using these tools:\n\n- [SWATbuildR](https://github.com/chrisschuerz/SWATbuildR) - R tool for building SWAT+ setups.\n- [SWATfarmR](http://chrisschuerz.github.io/SWATfarmR/) - R tool for preparing management schedules for the SWAT model.\n- [SWATdoctR](https://git.ufz.de/schuerz/swatdoctr) - A collection of functions in R and routines for SWAT model diagnostics. The package is presented in the article by @plunge2024a.\n- [SWATrunR](https://chrisschuerz.github.io/SWATrunR/) - R tool for running SWAT models for different parameters and scenarios.\n- [SWATtunR](https://biopsichas.github.io/SWATtunR/) - R tool for soft \u0026 hard calibration, validation of SWAT+ models.\n- [SWATmeasR](https://git.ufz.de/schuerz/swatmeasr) - R tool for implementing Natural/Small Water Retention Measures (NSWRMs) in the SWAT+ models and running scenarios.\n\n\u003cimg src=\"man/figures/swativerse_update.png\" title=\"SWAT packages for R\" alt=\"swativerse logo\" width=\"80%\" style=\"display: block; margin: auto;\" /\u003e\n\nDetailed information about packages, workflow steps, input data, SWAT+ parameters, model calibration, validation, etc., can be found in the [SWAT+ modeling protocol](https://doi.org/10.5281/zenodo.7463395) by @optain2022.\n\n## Installation\n\nYou can install the development version of `SWATprepR` from [GitHub](https://github.com/biopsichas/SWATprepR). Please be aware that to run the `get_usersoil_table()` function, the `euptf2` [package](https://github.com/tkdweber/euptf2) has to be installed. More information about this package can be found in the article by @szabo2020. Other functions might require specific packages as well. Please check the documentation of the functions for more information.\n\n``` r\n# If the package 'remotes' is not installed run first:\ninstall.packages(\"remotes\")\n\n# The installation of `SWATprepR`.\nremotes::install_github(\"biopsichas/SWATprepR\")\n```\n\n## Data\n\nAll the data required to run and test the package is installed with the package in the extdata folder. The exact location on your computer can be found by running the lines below. 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These templates include:\n\n- **calibration_data.xlsx** - template for loading calibration (water flow and water quality variables) data.\n- **weather_data.xlsx** - template for loading weather variables.\n- **usersoils.csv** - example of a soil parameters dataset.\n- **pnt_data.xlsx** - template for a point source dataset.\n- **GIS/** - folder with GIS layers needed to run some functions.\n\nData prepared according to these templates can be directly loaded into R, allowing you to apply all the functions as described.\n\n\n\u003cbr\u003e\n\n## References\n","funding_links":[],"readme_doi_urls":["https://doi.org/10.1186/s12302-024-00873-1","https://doi.org/10.5281/zenodo.7463395"],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":["crop-rotation","deposition","preparation","soil-properties","swat","weather"],"project_url":"https://ost.ecosyste.ms/api/v1/projects/190985","html_url":"https://ost.ecosyste.ms/projects/190985"}