The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

grwat: River Hydrograph Separation and Analysis

River hydrograph separation and daily runoff time series analysis. Provides various filters to separate baseflow and quickflow. Implements advanced separation technique by Rets et al. (2022) <doi:10.1134/S0097807822010146> which involves meteorological data to reveal genetic components of the runoff: ground, rain, thaw and spring (seasonal thaw). High-performance C++17 computation, annually aggregated variables, statistical testing and numerous plotting functions for high-quality visualization.

Version: 0.0.4
Depends: R (≥ 3.3)
Imports: cli, Rcpp, magrittr, dplyr, tidyr, lubridate, stringr, rlang, grid, ggplot2, zoo, trend, mblm, R.utils
LinkingTo: Rcpp
Suggests: ggridges, ggHoriPlot, ggthemes, kableExtra, knitr, ncdf4, rmarkdown, sf, testthat, stringi
Published: 2023-10-27
DOI: 10.32614/CRAN.package.grwat
Author: Timofey Samsonov ORCID iD [aut, cre], Ekaterina Retz ORCID iD [ctb], Maria Kireeva ORCID iD [ctb]
Maintainer: Timofey Samsonov <tsamsonov at geogr.msu.ru>
BugReports: https://github.com/tsamsonov/grwat/issues
License: MIT + file LICENSE
URL: https://github.com/tsamsonov/grwat
NeedsCompilation: yes
SystemRequirements: pandoc
Language: en-US
Materials: README NEWS
In views: Hydrology
CRAN checks: grwat results

Documentation:

Reference manual: grwat.pdf
Vignettes: 1. Baseflow filtering
Introduction to grwat R package
2. Advanced hydrograph separation
3. Summaries

Downloads:

Package source: grwat_0.0.4.tar.gz
Windows binaries: r-devel: grwat_0.0.4.zip, r-release: grwat_0.0.4.zip, r-oldrel: grwat_0.0.4.zip
macOS binaries: r-release (arm64): grwat_0.0.4.tgz, r-oldrel (arm64): grwat_0.0.4.tgz, r-release (x86_64): grwat_0.0.4.tgz, r-oldrel (x86_64): grwat_0.0.4.tgz
Old sources: grwat archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=grwat to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.