This package is in development and will change frequently.

One objective of FloodNet is to provide Canadian engineers and hydrologists with a set of tools that allows them to perform flood frequency analysis (FFA) efficiently and accurately. To this end, a fork of the R-package CSHShydRology was created and the methods the recommended methods were added. Another tool available to the Canadian water science community is the R-package HYDAT that simplifies the communication between R and a local version of the National Water Data Archive. The R-package floodnetRfa is built on the top of these two R-packages and aims to create a coherent environment for carrying out the Floodnet recommendations. The package includes functions that are invoked directly from the R terminal or via a shiny app.

An overall presentation of the GUI is provided here and further descriptions of the package capabilities are presented here. Tutorials describing the functionality added to the CSHShydrology fork are available in the links below:

• Annual Maxima
• Peak Over Threshold
• Regional Frequency Analysis
• Prediction at Ungauged Sites

First, R itself must be installed, which can be download from the official website here. Once the R environment is set up, the two R-packages dependencies CSHShydRology and HYDAT must be installed. These dependencies and the floodnetRfa can be download manually from the previous GitHub pages. However, it is easier to use the R package devtools to perform these installations within the R terminal. The code below will install floodnetRfa and all its dependencies.

library(devtools)

## Install the dependencies
install_github('floodnetProject16/CSHShydRology')
install_github('CentreForHydrology/HYDAT')

## Install the package
install_github('floodnetProject16/floodnetRfa')

Note that the installation process may take some time. We also recommend downloading the most recent version of the HYDAT database (sqlite3) from the National Water Data Archive as it can be used directly as input data.

After the installation, the Graphical User Interface (GUI) can be launched from the R terminal using the following instructions.

library(floodnetRfa)
FloodnetApp()

If the user provides a file path to the function FloodnetApp, it creates instead a script that launches the GUI from the system terminal. For example, the code below creates a script on the desktop of the user 'JohnDoe'.

FloodnetApp(shortcut = "C:/Users/JohnDoe/Desktop/flood.cmd")

Two companion datasets: gauged_sites.csv and descriptors.csv can be downloaded here. Their content has been collected during the FloodNet Project, and they illustrate the information needed by a user to perform FFA with floodnetRfa. Please note that the companion datasets are provided for demonstration purposes only. Some other supplementary materials related to floodnetRfa and the companion datasets are available here.

The development of the package used an HYDAT database dating of August 11th, 2019 that can be found here. For building the vignette and run the tests, the path of the database and companion dataset must be indicated in the file inst/config. See the example inst/config-example. When the package is built, the global variable can be loaded using the command.

source(system.file('config', package = 'floodnetRfa'))

and the vignette rebuilt using the command.

devtools::build_vignettes()