OCN_400_Allout

<p>A network built on a 400x400 lattice obtained by executing <code>set.seed(8); create_OCN(400, 400, nOutlet = "All", cellsize = 50)</code>.</p>

datasets

Generate and analyze Optimal Channel Networks (OCNs):
oriented spanning trees reproducing all scaling features characteristic
of real, natural river networks. As such, they can be used in a variety
of numerical experiments in the fields of hydrology, ecology and
epidemiology. See Carraro et al. (2020) <doi:10.1002/ece3.6479>
for a presentation of the package; Rinaldo et al. (2014)
<doi:10.1073/pnas.1322700111> for a theoretical overview on the OCN
concept; Furrer and Sain (2010) <doi:10.18637/jss.v036.i10> for the
construct used.

Luca Carraro

OCNet

Optimal Channel Networks

Florian Altermatt

Emanuel A. Fronhofer

Reinhard Furrer

Isabelle Gounand

Andrea Rinaldo

Enrico Bertuzzo

OCN_400_Allout function

<p>A <code>river</code> object. See <code>create_OCN</code> documentation for details.</p>

Format

Example of OCN with all perimetric pixels as outlets — OCN_400_Allout

Example of OCN with all perimetric pixels as outlets

OCN_400_Allout: Example of OCN with all perimetric pixels as outlets

Description

Usage

Arguments

Format