Package: rcontroll 0.1.1

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.

Authors:Sylvain Schmitt [aut, cre], Guillaume Salzet [aut], Fabian Fischer [aut], Isabelle Maréchaux [aut], Jérôme Chave [aut]

rcontroll_0.1.1.tar.gz
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rcontroll.pdf |rcontroll.html✨
rcontroll/json (API)
NEWS

# Install 'rcontroll' in R:

install.packages('rcontroll', repos = c('https://sylvainschmitt.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sylvainschmitt/rcontroll/issues

Uses libs:

gsl– GNU Scientific Library (GSL)
c++– GNU Standard C++ Library v3

Datasets:

TROLLv3_climatedaytime12 - 'TROLL' climate parameters over months
TROLLv3_daytimevar - 'TROLL' daytime variation parameters
TROLLv3_input - 'TROLL' global parameters
TROLLv3_output - 'TROLL' output
TROLLv3_pointcloud - 'TROLL' lidar parameters
TROLLv3_species - 'TROLL' species parameters

On CRAN:

5.66 score 4 stars 19 scripts 290 downloads 22 exports 107 dependencies

Last updated 1 months agofrom:b136f55f63. Checks:OK: 3 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 30 2024
R-4.5-win-x86_64	OK	Oct 30 2024
R-4.5-linux-x86_64	OK	Oct 30 2024
R-4.4-win-x86_64	NOTE	Oct 30 2024
R-4.4-mac-x86_64	NOTE	Oct 30 2024
R-4.4-mac-aarch64	NOTE	Oct 30 2024
R-4.3-win-x86_64	NOTE	Oct 30 2024
R-4.3-mac-x86_64	NOTE	Oct 30 2024
R-4.3-mac-aarch64	NOTE	Oct 30 2024

Exports:%>%autogif autoplot generate_climate generate_lidar generate_parameters get_chm get_forest get_log load_output load_sim load_stack print show stack summary troll TROLL.version trollCpp trollsim trollstack update_parameters

Dependencies:abind base64enc BH bit bit64 bslib cachem class classInt cli clipr codetools colorspace cpp11 crayon data.table DBI digest doParallel doSNOW dplyr e1071 evaluate fansi farver fastmap fontawesome foreach fs generics gganimate ggplot2 glue gridExtra gtable highr hms htmltools htmlwidgets isoband iterators jquerylib jsonlite KernSmooth knitr labeling lattice lazyeval lidR lifecycle lpSolve lubridate magrittr MASS Matrix memoise mgcv mime munsell nlme pillar pkgconfig plyr prettyunits progress proxy purrr R6 rappdirs RColorBrewer Rcpp RcppArmadillo RcppGSL readr reshape2 rgl rlang rlas rmarkdown s2 sass scales sf snow stars stringi stringr sys terra tibble tidyr tidyselect timechange tinytex transformr tweenr tzdb units utf8 vctrs viridis viridisLite vroom withr wk xfun yaml

A simple workflow

Rendered fromworkflow.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2023-04-12
Started: 2018-07-27

Generate climate data

Rendered fromclimate.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2024-09-30
Started: 2022-09-21

Lidar simulation using TROLL

Rendered fromlidar.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2023-04-12
Started: 2022-11-30

The TROLL model

Rendered fromtroll.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2023-04-12
Started: 2021-12-08

Help page	Topics
Create an animation from a TROLL simulation	autogif
Plot TROLL simulation or stack	autoplot,trollsim-method
Generate climate dataset	generate_climate
Generate lidar parameters	generate_lidar
Generate global parameters	generate_parameters
Extract canopy height model	get_chm get_chm,trollsim-method
Extract forest inventory	get_forest get_forest,trollsim-method
Extract simulation log	get_log get_log,trollsim-method
Load outputs from simulation	load_output
Load outputs from simulation or stack of simulations	load_sim load_sim,trollsim-method
Load outputs from a stack of simulations	load_stack
Options	option.rcontroll
Print a summary	print,trollsim-method print.trollsim show,trollsim-method summary,trollsim-method
'rcontroll': individual-based forest growth simulator TROLL	rcontroll
Run a stack of 'TROLL' simulations	stack
Run a 'TROLL' simulation	troll
'TROLL' version	TROLL.version
TROLL simulator	trollCpp
A 'TROLL' simulations	trollsim
A 'TROLL' simulations	trollsim-class
A stack of 'TROLL' simulations	trollstack
A stack of 'TROLL' simulations	trollstack-class
'TROLL' climate parameters over months	TROLLv3_climatedaytime12
'TROLL' daytime variation parameters	TROLLv3_daytimevar
'TROLL' global parameters	TROLLv3_input
'TROLL' output	TROLLv3_output
'TROLL' lidar parameters	TROLLv3_pointcloud
'TROLL' species parameters	TROLLv3_species
Update global parameters	update_parameters update_parameters,trollsim-method

Package: rcontroll 0.1.1

rcontroll: Individual-Based Forest Growth Simulator 'TROLL'

A simple workflow

Generate climate data

Lidar simulation using TROLL

The TROLL model

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)