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 |