The efdcr
package is a toolbox in R for pre- and post-processing the model results of the Environmental Fluid Dynamics Code (EFDC).
It provides tools to link existing EFDC models (build by EEMS) with your modelling wokflows in R.
efdcr
enables you to set up the model data before you can directly import to the EEMS and to easily visualize the model results exported by EEMS. The central goal of efdcr
is to return simulation results in a tidy format to facilitate an easy implementation of EFDC simulations, together with other R packages into clean and efficient R programming workflows. The efdcr
pakcage is part of my PhD thesis and was for personal use origninally and the APIs are not stable. Inspired by the SWATplusR
package, I decided to continue to develop the package. Any contributions are welcomed and appreciated.
- concise syntax: easy to memory and use
- work well with the
tidyverse
packages - feature rich compared to the EEMS
- careful API lifecycle management
efdcr
is still under development and will be constantly updated (more features will be added).
You can Install the latest development version of efdcr
from GitHub with:
if (!require("devtools")) {
install.packages("devtools")
}
devtools::install_github("hxfan1227/efdcr")
Installation from GitHub does not include the vignettes by default because they take some time to build.
This is a basic example which shows you how to solve a common problem:
library(efdcr)
# use has_variable() to check wether the .nc file has variables
has_variable('water_quality.nc')
#> The file has 67 variables
# use get_efdc_nc_dt() to extract variables in the .nc file
dye_dt <- get_efdc_nc_dt('G:/water_quality.nc', var_name = 'DYE')
#> Reading bottom elevation (ZBOT)...
#> Finish reading bottom elevation (ZBOT)!
#> Reading water surface elevation (WSEL)...
#> Finish reading water surface elevation (WSEL)
#> Reading variables DYE ...
#> Finish reading variables DYE !