This package is considered a duplicate. The official version of this package is found at:https://molina-valero.r-universe.dev/FORTLS

Package: FORTLS 2.0.1

Juan Alberto Molina-Valero

FORTLS: Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes

Process automation of point cloud data derived from terrestrial-based technologies such as Terrestrial Laser Scanner (TLS) or Mobile Laser Scanner. 'FORTLS' enables (i) detection of trees and estimation of tree-level attributes (e.g. diameters and heights), (ii) estimation of stand-level variables (e.g. density, basal area, mean and dominant height), (iii) computation of metrics related to important forest attributes estimated in Forest Inventories at stand-level, and (iv) optimization of plot design for combining TLS data and field measured data. Documentation about 'FORTLS' is described in Molina-Valero et al. (2022, <doi:10.1016/j.envsoft.2022.105337>).

Authors:Juan Alberto Molina-Valero [aut, cph, cre], Adela Martínez-Calvo [aut, com], Juan Gabriel Álvarez-González [aut, ths], Fernando Montes [aut], César Pérez-Cruzado [aut, ths]

FORTLS_2.0.1.tar.gz
FORTLS_2.0.1.zip(r-4.7)FORTLS_2.0.1.zip(r-4.6)FORTLS_2.0.1.zip(r-4.5)
FORTLS_2.0.1.tgz(r-4.6-x86_64)FORTLS_2.0.1.tgz(r-4.6-arm64)FORTLS_2.0.1.tgz(r-4.5-x86_64)FORTLS_2.0.1.tgz(r-4.5-arm64)
FORTLS_2.0.1.tar.gz(r-4.7-arm64)FORTLS_2.0.1.tar.gz(r-4.7-x86_64)FORTLS_2.0.1.tar.gz(r-4.6-arm64)FORTLS_2.0.1.tar.gz(r-4.6-x86_64)
FORTLS_2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
FORTLS/json (API)

# Install 'FORTLS' in R:

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

Bug tracker:https://github.com/molina-valero/fortls/issues

Pkgdown/docs site:https://molina-valero.github.io

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

Rioja.data - Inventoried Plots Data for a Stand Case Study in La Rioja
Rioja.simulations - Simulated Metrics and Variables for a Stand Case Study in La Rioja

On CRAN:

archived packages r-universe cpp

3.95 score 5 stars 12 scripts 554 downloads 29 exports 136 dependencies

Last updated from:be74f0881c (on package/FORTLS). Checks:13 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	OK	322
linux-devel-x86_64	OK	300
source / vignettes	OK	456
linux-release-arm64	OK	296
linux-release-x86_64	OK	272
macos-release-arm64	OK	179
macos-release-x86_64	OK	657
macos-oldrel-arm64	OK	198
macos-oldrel-x86_64	OK	595
windows-devel	OK	351
windows-release	OK	317
windows-oldrel	OK	370
wasm-release	OK	229

Exports:angle_count_cpp correlations distance.sampling estimation.plot.size fit_circle_cpp_modified fixed_area_cpp geometric_features_dist geometric_features_py height_perc_cpp install_fortls_python_deps internal_ransac is_one_row_all_na iterations_RANSAC k_tree_cpp metrics.variables normalize optimize.plot.design RANSAC_cpp relative.bias sample_indices simulations tree.detection.multi.scan tree.detection.several.plots tree.detection.single.scan voxel_grid_downsampling weighted_mean_arit weighted_mean_geom weighted_mean_harm weighted_mean_sqrt

Dependencies:abind askpass base64enc BH bit bit64 boot bslib cachem circular class classInt cli codetools cpp11 crayon crosstalk curl data.table DBI dbscan digest Distance dplyr e1071 evaluate farver fastcluster fastmap FNN fontawesome fs future future.apply generics geometry ggplot2 globals glue gtable here highr hms htmltools htmlwidgets httr isoband jquerylib jsonlite KernSmooth knitr labeling later lattice lazyeval lidR lifecycle linprog listenv lpSolve magic magrittr MASS Matrix memoise mgcv mime moments mrds mvtnorm nlme nloptr numDeriv openssl optimx otel parallelly pillar pkgconfig plotly png pracma prettyunits progress promises proxy purrr R6 rappdirs raster rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen RcppParallel RcppProgress RcppTOML RCSF Rdpack reticulate Rfast rgl rlang rlas rmarkdown rprojroot Rsolnp s2 S7 sass scales sf sp stars stringi stringr sys terra tibble tidyr tidyselect tinytex truncnorm tzdb units utf8 vctrs viridisLite VoxR vroom withr wk xfun yaml zigg

Plot design optimization

Anika Seppelt

Rendered fromplot_design_optimization.Rmdusingknitr::rmarkdownon Jun 09 2026.

Last update: 2026-06-09
Started: 2026-06-09

Stand-level variables

Anika Seppelt

Rendered fromstand_level.Rmdusingknitr::rmarkdownon Jun 09 2026.

Last update: 2026-06-09
Started: 2026-06-09

Tree-level variables

Anika Seppelt & Juan Alberto Molina Valero

Rendered fromtree_level.Rmdusingknitr::rmarkdownon Jun 09 2026.

Last update: 2026-06-09
Started: 2026-06-09

Help page	Topics
FORTLS: Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes	FORTLS-package FORTLS
Correlation Between Field Estimations and TLS Metrics	correlations
Distance Sampling Methods for Correcting Occlusions Effects	distance.sampling
Assess Consistency of Metrics for Simulated TLS Plots	estimation.plot.size
Install Python dependencies required by FORTLS	install_fortls_python_deps
Compute Metrics and Variables for Terrestrial-Based Technologies Point Clouds	metrics.variables
Relative Coordinates and Density Reduction for Terrestrial-Based Technologies Point Clouds	normalize
Optimize Plot Design Based on Optimal Correlations	optimize.plot.design
Relative Bias Between Field Estimations and TLS metrics	relative.bias
Inventoried Plots Data for a Stand Case Study in La Rioja	Rioja.data
Simulated Metrics and Variables for a Stand Case Study in La Rioja	Rioja.simulations
Compute Metrics and Variables for Simulated TLS and Field Plots	simulations
Tree-Level Variables Estimation	tree.detection.multi.scan
Tree-Level Variables Estimation for Several Plots	tree.detection.several.plots
Tree-Level Variables Estimation for TLS Single-Scan Approach	tree.detection.single.scan

Package: FORTLS 2.0.1

FORTLS: Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes

Plot design optimization

Stand-level variables

Tree-level variables

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)