RavenR is an R package for handling Raven hydrologic modelling framework inputs, outputs, and diagnostics. Please contact Robert Chlumsky (rchlumsk@uwaterloo.ca) or Dr. James Craig (jrcraig@uwaterloo.ca) for any troubleshooting, bug fixes, or recommendations on future releases.
You can install RavenR from github with:
# install.packages("devtools")
library(devtools)
devtools::install_github("rchlumsk/RavenR")
Please see the vignettes or pdf folder for RavenR Tutorials and Quick Start Guides. Sample data is included in the package, so you need only to install the RavenR library and follow along in the guide documents to get started.
**Note that as of v1.2, the vignettes are out of date and will be updated in the next update.
Any issues or feature requests can be submitted on Github via the Issues tab. You may also submit feature requests directly to Robert Chlumsky (rchlumsk@uwaterloo.ca) via email.
Note that some of the package dependencies may require the installation of programs outside of R, particularly for Linux users. Refer to specific function helps on how to install various package materials, such as ImageMagick.
Updated functionality and test shapefile data sets for use, with a focus
on updated documentation. New functions include: * dygraph plotting of
subbasin results
* RVI read in function
* minor fixes to flagging in hyd.read
* major updates to SBMap.plot and SBMap.animate to use sf and magick
packages
Sample data sets added include: * Nith.rvi (from Raven Walkthrough
Tutorial files)
* Nith subwatershed shapefile (for testing GIS-based functions)
* additional custom outputs for run1
Updated RavenR Short Exercise with new functions, and started RavenR Tutorial document (planned for future release, currently under construction).
Updated functionality and test data sets for use. New functions include:
* subbasin and HRU plotting from shapefile from custom data or tabular
input
* animation of subbasin plots for custom data
* watershed network plotting from HRU file
* RVH file handling
* time series infilling
* creation of observation rvt files
New sample data sets, including raw data for testing read-type functions.
Updated examples for each function and improved documentation.