quaxnat: Estimation of Natural Regeneration Potential

Functions for estimating the potential dispersal of tree species using regeneration densities and dispersal distances to nearest seed trees. A quantile regression is implemented to determine the dispersal potential. Spatial prediction can be used to identify natural regeneration potential for forest restoration as described in Axer et al. (2021) <doi:10.1016/j.foreco.2020.118802>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: stats, terra
Published: 2024-06-07
DOI: 10.32614/CRAN.package.quaxnat
Author: Maximilian Axer ORCID iD [aut, cre], Robert Schlicht [aut], Robert Nuske ORCID iD [ctb], Nordwestdeutsche Forstliche Versuchsanstalt (NW-FVA) [fnd], Staatsbetrieb Sachsenforst [fnd], Technische Universit├Ąt Dresden [fnd, cph]
Maintainer: Maximilian Axer <maximilian.axer at nw-fva.de>
BugReports: https://github.com/MaximilianAxer/quaxnat/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/MaximilianAxer/quaxnat
NeedsCompilation: no
Materials: README NEWS
CRAN checks: quaxnat results

Documentation:

Reference manual: quaxnat.pdf

Downloads:

Package source: quaxnat_1.0.0.tar.gz
Windows binaries: r-devel: quaxnat_1.0.0.zip, r-release: quaxnat_1.0.0.zip, r-oldrel: quaxnat_1.0.0.zip
macOS binaries: r-release (arm64): quaxnat_1.0.0.tgz, r-oldrel (arm64): quaxnat_1.0.0.tgz, r-release (x86_64): quaxnat_1.0.0.tgz, r-oldrel (x86_64): quaxnat_1.0.0.tgz

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