<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>An R-GUI for Spatial Analysis of Surface Runoff using the
NRCS-CN Method</dc:title>
  <dc:title>R package sara4r version 0.1.0</dc:title>
  <dc:description>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)&lt;doi:10.1016/j.envsoft.2011.07.006&gt;. 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)&lt;doi:10.2166/hydro.2020.087&gt; 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.).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.3.0), tcltk, tcltk2</dc:relation>
  <dc:relation>Imports: terra</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Rafael Hernandez-Guzman &lt;rhernandez.g@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Rafael Hernandez-Guzman [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-2711-9015&gt;),
  Arturo Ruiz-Luna [aut] (ORCID: &lt;https://orcid.org/0000-0001-6878-0929&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2023-10-26</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=sara4r</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.sara4r</dc:identifier>
</oai_dc:dc>
