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: | 0.3.2 |
Depends: | R (≥ 3.6) |
Imports: | fields, spam, rgl, methods, igraph, SSN, rgdal, sp |
Suggests: | knitr, rmarkdown, bookdown |
Published: | 2020-07-23 |
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 |
NeedsCompilation: | yes |
Citation: | OCNet citation info |
Materials: | NEWS |
CRAN checks: | OCNet results |
Reference manual: | OCNet.pdf |
Vignettes: |
Create Optimal Channel Networks |
Package source: | OCNet_0.3.2.tar.gz |
Windows binaries: | r-devel: OCNet_0.3.2.zip, r-release: OCNet_0.3.2.zip, r-oldrel: OCNet_0.3.2.zip |
macOS binaries: | r-release: OCNet_0.3.2.tgz, r-oldrel: OCNet_0.3.2.tgz |
Old sources: | OCNet archive |
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