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.

sara4r: An R-GUI for Spatial Analysis of Surface Runoff using the NRCS-CN Method

A Graphical user interface to calculate the rainfall-runoff relation using the Natural Resources Conservation Service - Curve Number method (NRCS-CN method) but include modifications by Hawkins et al., (2002) about the Initial Abstraction. This GUI follows the programming logic of a previously published software (Hernandez-Guzman et al., 2011)<doi:10.1016/j.envsoft.2011.07.006>. It is a raster-based GIS tool that outputs runoff estimates from Land use/land cover and hydrologic soil group maps. This package has already been published in Journal of Hydroinformatics (Hernandez-Guzman et al., 2021)<doi:10.2166/hydro.2020.087> but it is under constant development at the Institute about Natural Resources Research (INIRENA) from the Universidad Michoacana de San Nicolas de Hidalgo and represents a collaborative effort between the Hydro-Geomatic Lab (INIRENA) with the Environmental Management Lab (CIAD, A.C.).

Version: 0.1.0
Depends: R (≥ 4.3.0), tcltk, tcltk2
Imports: terra
Suggests: knitr, rmarkdown
Published: 2023-10-26
Author: Rafael Hernandez-Guzman ORCID iD [aut, cre], Arturo Ruiz-Luna ORCID iD [aut]
Maintainer: Rafael Hernandez-Guzman <rhernandez.g at gmail.com>
License: GPL (≥ 3)
URL: https://hydro-geomatic-lab.com/, https://hydro-geomatic-lab.com/sara4r.html
NeedsCompilation: no
Citation: sara4r citation info
Materials: NEWS
CRAN checks: sara4r results

Documentation:

Reference manual: sara4r.pdf
Vignettes: sara4r Vignette

Downloads:

Package source: sara4r_0.1.0.tar.gz
Windows binaries: r-devel: sara4r_0.1.0.zip, r-release: sara4r_0.1.0.zip, r-oldrel: sara4r_0.1.0.zip
macOS binaries: r-release (arm64): sara4r_0.1.0.tgz, r-oldrel (arm64): sara4r_0.1.0.tgz, r-release (x86_64): sara4r_0.1.0.tgz, r-oldrel (x86_64): sara4r_0.1.0.tgz
Old sources: sara4r archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sara4r 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.