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:
quaxnat_1.0.1.tar.gz
quaxnat_1.0.1.zip(r-4.7)quaxnat_1.0.1.zip(r-4.6)quaxnat_1.0.1.zip(r-4.5)
quaxnat_1.0.1.tgz(r-4.6-any)quaxnat_1.0.1.tgz(r-4.5-any)
quaxnat_1.0.1.tar.gz(r-4.7-any)quaxnat_1.0.1.tar.gz(r-4.6-any)
quaxnat_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
quaxnat/json (API)
NEWS
| # Install 'quaxnat' in R: |
| install.packages('quaxnat', repos = c('https://maximilianaxer.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/maximilianaxer/quaxnat/issues
- regeneration - Regeneration densities at inventory plots and potential dispersal distances to nearest seed trees
Last updated from:cc7aaf7d4c. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 117 | ||
| source / vignettes | OK | 188 | ||
| linux-release-x86_64 | OK | 114 | ||
| macos-release-arm64 | OK | 92 | ||
| macos-oldrel-arm64 | OK | 103 | ||
| windows-devel | OK | 110 | ||
| windows-release | OK | 90 | ||
| windows-oldrel | OK | 79 | ||
| wasm-release | OK | 126 |
Exports:extract_distk_exponential_powerk_lognormalk_powerk_tk_weibullpredict_quaxquaxseed_tree_distmap
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extracting distances to nearest seed source for point data | extract_dist |
| Dispersal kernels from exponential power family | k_exponential_power |
| Dispersal kernels for log-normal distance distributions | k_lognormal |
| Power-law dispersal kernels | k_power |
| Dispersal kernels from spatial t distribution | k_t |
| Dispersal kernels for Weibull distance distributions | k_weibull |
| Prediction of potential regeneration densities | predict_quax |
| Estimating potential regeneration densities by quantile regression | quax quax.default quax.formula |
| Regeneration densities at inventory plots and potential dispersal distances to nearest seed trees | regeneration |
| Distance map to nearest seed source | seed_tree_distmap |
| Summarizing quantile regression fits of potential regeneration densities | summary.quax |