Package: calba 0.1.2.900

calba: Efficient Neighborhood Basal Area Metrics for Trees

Fast 'C++'-backed tools for computing conspecific and total neighborhood basal area in mapped forest plots. Includes unweighted and distance-weighted neighborhoods, multiple radii, decay kernels, and basic edge correction. Outputs are model-ready covariates for forest competition, growth, and survival models, following neighborhood modeling workflows commonly used in spatial ecology (e.g., Hülsmann et al. 2024 <doi:10.1038/s41586-024-07118-4>).

Authors:Masatoshi Katabuchi [aut, cre]

calba_0.1.2.900.tar.gz
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calba_0.1.2.900.tgz(r-4.6-x86_64)calba_0.1.2.900.tgz(r-4.6-arm64)calba_0.1.2.900.tgz(r-4.5-x86_64)calba_0.1.2.900.tgz(r-4.5-arm64)
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calba_0.1.2.900.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
calba/json (API)

# Install 'calba' in R:
install.packages('calba', repos = c('https://mattocci27.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mattocci27/calba/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

4.48 score 4 scripts 147 downloads 7 exports 1 dependencies

Last updated from:559e46ee13. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK123
linux-devel-x86_64OK131
source / vignettesOK177
linux-release-arm64OK134
linux-release-x86_64OK123
macos-release-arm64OK158
macos-release-x86_64OK281
macos-oldrel-arm64OK203
macos-oldrel-x86_64OK286
windows-develOK136
windows-releaseOK145
windows-oldrelOK93
wasm-releaseOK108

Exports:ba_decayba_decay_longba_simplecount_concount_totalneigh_baneigh_multi_r

Dependencies:Rcpp

Neighborhood basal area with calba

Rendered fromcalba.Rmdusingknitr::rmarkdownon May 18 2026.

Last update: 2025-12-01
Started: 2025-12-01