OCNet: Optimal Channel Networks

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:10.1101/2020.02.17.948851> 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.

Version: 0.3.1
Depends: R (≥ 3.6)
Imports: fields, spam, rgl, methods, igraph, SSN, rgdal, sp
Suggests: knitr, rmarkdown, bookdown
Published: 2020-06-26
Author: Luca Carraro [aut, cre], Florian Altermatt [ctb], Emanuel A. Fronhofer [ctb], Reinhard Furrer [ctb], Isabelle Gounand [ctb], Andrea Rinaldo [ctb], Enrico Bertuzzo [aut]
Maintainer: Luca Carraro <luca.carraro at hotmail.it>
License: GPL-3
NeedsCompilation: yes
Citation: OCNet citation info
Materials: NEWS
CRAN checks: OCNet results

Downloads:

Reference manual: OCNet.pdf
Vignettes: Create Optimal Channel Networks
Package source: OCNet_0.3.1.tar.gz
Windows binaries: r-devel: OCNet_0.3.1.zip, r-release: OCNet_0.3.1.zip, r-oldrel: OCNet_0.3.1.zip
macOS binaries: r-release: OCNet_0.3.0.tgz, r-oldrel: OCNet_0.3.1.tgz
Old sources: OCNet archive

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