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: 1.2.2 Depends: R (≥ 3.6) Imports: fields, spam, rgl, methods, igraph, Rcpp (≥ 1.0.10), adespatial, spdep, terra LinkingTo: Rcpp Suggests: knitr, rmarkdown, bookdown Published: 2024-04-16 DOI: 10.32614/CRAN.package.OCNet 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> BugReports: https://github.com/lucarraro/OCNet/issues License: GPL-3 URL: https://lucarraro.github.io/OCNet/ NeedsCompilation: yes Citation: OCNet citation info Materials: NEWS CRAN checks: OCNet results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=OCNet to link to this page.
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