rcontroll: Individual-Based Forest Growth Simulator 'TROLL'

'TROLL' is coded in C++ and it typically simulates hundreds of thousands of individuals over hundreds of years. The 'rcontroll' R package is a wrapper of 'TROLL'. 'rcontroll' includes functions that generate inputs for simulations and run simulations. Finally, it is possible to analyse the 'TROLL' outputs through tables, figures, and maps taking advantage of other R visualisation packages. 'rcontroll' also offers the possibility to generate a virtual LiDAR point cloud that corresponds to a snapshot of the simulated forest.

Version: 0.1.1
Depends: R (≥ 3.6)
Imports: methods (≥ 3.5.0), utils (≥ 3.5.0), readr (≥ 1.3.0), sys (≥ 3.2), dplyr (≥ 1.0.0), magrittr (≥ 2.0.0), reshape2 (≥ 1.3.0), ggplot2 (≥ 3.2.0), viridis (≥ 0.4.0), parallel (≥ 3.5.0), doParallel (≥ 1.0.7), doSNOW (≥ 1.0.10), foreach (≥ 1.4.1), iterators (≥ 1.0.5), Rcpp (≥ 1.0.5), gganimate (≥ 1.0.0), vroom (≥ 1.0.0), tidyr (≥ 1.0.0), tibble (≥ 3.0.0), lubridate (≥ 1.6.0), terra (≥ 1.5-16), lidR (≥ 4.0.1)
LinkingTo: Rcpp, RcppGSL
Suggests: markdown, knitr, rmarkdown, testthat, covr
Published: 2023-09-07
DOI: 10.32614/CRAN.package.rcontroll
Author: Sylvain Schmitt ORCID iD [aut, cre], Guillaume Salzet ORCID iD [aut], Fabian Fischer ORCID iD [aut], Isabelle Maréchaux ORCID iD [aut], Jérôme Chave ORCID iD [aut]
Maintainer: Sylvain Schmitt <sylvain.m.schmitt at gmail.com>
BugReports: https://github.com/sylvainschmitt/rcontroll/issues
License: GPL-3
URL: https://github.com/sylvainschmitt/rcontroll, https://sylvainschmitt.github.io/rcontroll/
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: rcontroll results


Reference manual: rcontroll.pdf
Vignettes: Generate climate data
Lidar simulation using TROLL
The TROLL model
A simple workflow


Package source: rcontroll_0.1.1.tar.gz
Windows binaries: r-devel: rcontroll_0.1.1.zip, r-release: rcontroll_0.1.1.zip, r-oldrel: rcontroll_0.1.1.zip
macOS binaries: r-release (arm64): rcontroll_0.1.1.tgz, r-oldrel (arm64): rcontroll_0.1.1.tgz, r-release (x86_64): rcontroll_0.1.1.tgz, r-oldrel (x86_64): rcontroll_0.1.1.tgz
Old sources: rcontroll archive


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