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:10.1002/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.

Version: 1.2.1
Depends: R (≥ 3.6)
Imports: fields, spam, rgl, methods, igraph, Rcpp (≥ 1.0.10), adespatial, spdep, terra
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, bookdown
Published: 2023-11-23
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
URL: https://lucarraro.github.io/OCNet/
NeedsCompilation: yes
Citation: OCNet citation info
Materials: NEWS
CRAN checks: OCNet results

Documentation:

Reference manual: OCNet.pdf
Vignettes: Create Optimal Channel Networks

Downloads:

Package source: OCNet_1.2.1.tar.gz
Windows binaries: r-devel: OCNet_1.2.1.zip, r-release: OCNet_1.2.1.zip, r-oldrel: OCNet_1.2.1.zip
macOS binaries: r-release (arm64): OCNet_1.2.1.tgz, r-oldrel (arm64): OCNet_1.2.1.tgz, r-release (x86_64): OCNet_1.2.1.tgz
Old sources: OCNet archive

Reverse dependencies:

Reverse imports: eDITH, rivnet

Linking:

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