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) for a presentation of the package; Rinaldo et al. (2014) for a theoretical overview on the OCN concept; Furrer and Sain (2010) for the construct used.


Reference manual

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install.packages("OCNet")

1.2.3 by Luca Carraro, a year ago


https://lucarraro.github.io/OCNet/


Report a bug at https://github.com/lucarraro/OCNet/issues


Browse source code at https://github.com/cran/OCNet


Authors: Luca Carraro [aut, cre] , Florian Altermatt [ctb] , Emanuel A. Fronhofer [ctb] , Reinhard Furrer [ctb] , Isabelle Gounand [ctb] , Andrea Rinaldo [ctb] , Enrico Bertuzzo [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports fields, spam, rgl, methods, igraph, Rcpp, adespatial, spdep, terra

Suggests knitr, rmarkdown, bookdown

Linking to Rcpp


Imported by eDITH, rivnet.


See at CRAN