This R implementation of the grassland model ModVege by Jouven et al.2 is based off an R implementation created by Pierluigi Calanca3.
The implementation in this package contains a few additions to the above cited version of ModVege, such as simulations of management decisions, and influences of snow cover. As such, the model is fit to simulate grass growth in mountainous regions, such as the Swiss Alps.
The package also contains routines for calibrating the model and helpful tools for analysing model outputs and performance.
This is the preferred installation route for most users.
This R package can be installed as usual from CRAN by issuing the following at the prompt of an R session:
install.packages("growR")Installing from source might make sense if…
In this case,
Start by cloning this repository" $ git clone git@github.com:kuadrat/growR.git or via https: $ git clone https://github.com/kuadrat/growR.git This will create a directory growR in your file system.
If you don’t have or don’t want to use git, you could alternatively copy the source code as a .zip file from github. Unzip the contents into a directory growR.
You can now install growR by issuing the following at the prompt of an R session: install.packages("/full/path/to/growR", repos = NULL) You should replace "/full/path/to/" with the actual path to the growR directory on your computer. Also, replace slashes (/) with backslashe (\) if you’re on Windows.
growR should now be installed and available in R through library(growR).
If you make changes to the source files in the growR directory, just uninstall the current version (issue remove.packages("growR") in R) and repeat step 2 above.
If you just want to focus on using and adjusting the ModVege model and feel that the structure of an R package is more of a hindrance than a help to your cause, there is a third option. Simply use the pre-R-package version of growR, called rmodvege, which is essentially a collection of R scripts. Some users might be more familiar or comfortable working in this manner instead of working with package code.
Go to https://github.com/kuadrat/rmodvege-scripts to access the script-based implementation of ModVege. Note, however, that the script based version is not maintained and might therefore lack some functionality which is provided by the growR package.
The package documentation is hosted on github pages: https://kuadrat.github.io/growR/. Have a look to find an introductory tutorial, further information as well as the complete package reference.
Alternatively (in case github pages are down or you prefer an offline solution), you can find the same information under Reference manual and Vignettes on the CRAN package homepage: https://cran.r-project.org/web/packages/growR/index.html
Finally, it’s also possible to directly access the package documentation and vignettes from an R interpreter, using the ? and vignette() tools, e.g.
> library(growR)
# Get help on a function or object
> ?growR_run_loop
# some output...
# List available vignettes
> vignette(package = "growR")
Vignettes in package ‘growR’:
parameter_descriptions
Parameter Descriptions (source, html)
growR Tutorial (source, html)
# Inspect a vignette
> vignette("growR")All forms of contributions to this project are warmly welcome. You are invited to: - provide direct feedback over e-mail. - submit bug reports and feature requests via github issues. - make changes and additions to the code and submit pull requests to let your contributions become part of future versions. - suggest improvements for or write documentation and tutorials. - reference work that made use of growR here.
If you intend to collaborate in a regular and ongoing manner, best get in touch with Kevin Kramer.
Kevin Kramer: kevin.pasqual.kramer@protonmail.ch
Terms used in this project
growR Name of this project and the corresponding R package. The shown capitalization is adhered to even when used in function or object names in the code base.ModVege The basis for the underlying grassland model implemented here. The naming convention of objects overrides the capitalization shown here, when the model name is referred to in function and object names.rmodvege Early name of this project and still the name of a legacy project that was not factored as an R package, but rather as a collection of R scripts. Still available, though unmaintained at https://github.com/kuadrat/rmodvege-scripts/.Jouven, M., P. Carrère, und R. Baumont. „Model Predicting Dynamics of Biomass, Structure and Digestibility of Herbage in Managed Permanent Pastures. 1. Model Description“. Grass and Forage Science 61, Nr. 2 (2006): 112–24. doi:10.1111/j.1365-2494.2006.00515.x.↩
Jouven, M., P. Carrère, und R. Baumont. „Model Predicting Dynamics of Biomass, Structure and Digestibility of Herbage in Managed Permanent Pastures. 1. Model Description“. Grass and Forage Science 61, Nr. 2 (2006): 112–24. doi:10.1111/j.1365-2494.2006.00515.x.↩
Calanca, Pierluigi, Claire Deléglise, Raphaël Martin, Pascal Carrère, und Eric Mosimann. „Testing the Ability of a Simple Grassland Model to Simulate the Seasonal Effects of Drought on Herbage Growth“. Field Crops Research 187 (Februar 2016): 12–23. doi:10.1016/j.fcr.2015.12.008.↩
If you make changes that generally improve growR, it would be great if you could share them to make them available to all future users. See Contributing.↩