The goal of SWATprepR
is to help with the SWAT+
model input data preparation. A
detailed overview is presented in the article by Plunge, Szabó, et al.
(2024). Most functions were developed for the implementation of modeling
tasks in the OPTAIN project. These tools are
intended to fill the gaps in the SWAT+ workflow alongside the main tools
developed by Christoph Schuerz.
Therefore, we highly recommend trying and using these tools:
Detailed information about packages, workflow steps, input data, SWAT+ parameters, model calibration, validation, etc., can be found in the SWAT+ modeling protocol by Christoph et al. (2022).
You can install the development version of SWATprepR
from
GitHub. Please be aware that
to run the get_usersoil_table()
function, the euptf2
package has to be installed. More
information about this package can be found in the article by Szabó,
Weynants, and Weber (2020).
# If the package 'remotes' is not installed run first:
install.packages("remotes")
# The installation of `SWATprepR`.
remotes::install_github("biopsichas/SWATprepR")
# The `euptf2` package has to be installed to utilize `get_usersoil_table()` function.
remotes::install_github("tkdweber/euptf2")
All 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. Please run these commands on your system to locate it.
library(SWATprepR)
#> Loading required package: euptf2
#> Loading required package: plyr
#> Loading required package: stringr
#> Loading required package: data.table
#> Warning: package 'data.table' was built under R version 4.2.3
#> Loading required package: ranger
temp_path <- system.file("extdata", package = "SWATprepR")
print(temp_path)
#> [1] "C:/Users/laptop/AppData/Local/R/win-library/4.2/SWATprepR/extdata"
To use the SWATprepR
package functions with your data, you should
prepare your data to align with the templates provided in the extdata
folder. These templates include:
Data prepared according to these templates can be directly loaded into R, allowing you to apply all the functions as described.
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[^1]: For access please inquire at christoph.schuerz@ufz.de.