Package: quaxnat 1.0.1

Maximilian Axer

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>.

Authors:Maximilian Axer [aut, cre], Robert Schlicht [aut], Robert Nuske [ctb], Nordwestdeutsche Forstliche Versuchsanstalt [fnd], Staatsbetrieb Sachsenforst [fnd], Technische Universität Dresden [fnd, cph]

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NEWS

# Install 'quaxnat' in R:
install.packages('quaxnat', repos = c('https://maximilianaxer.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/maximilianaxer/quaxnat/issues

Datasets:
  • regeneration - Regeneration densities at inventory plots and potential dispersal distances to nearest seed trees

On CRAN:

3.90 score 1 stars 2 scripts 416 downloads 9 exports 2 dependencies

Last updated 26 days agofrom:cc7aaf7d4c. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 28 2024
R-4.5-winOKOct 28 2024
R-4.5-linuxOKOct 28 2024
R-4.4-winNOTEOct 28 2024
R-4.4-macNOTEOct 28 2024
R-4.3-winNOTEOct 28 2024
R-4.3-macNOTEOct 28 2024

Exports:extract_distk_exponential_powerk_lognormalk_powerk_tk_weibullpredict_quaxquaxseed_tree_distmap

Dependencies:Rcppterra