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FORTLS
View on CRAN: Click
here
Download and install FORTLS package within the R console
Install from CRAN:
install.packages("FORTLS")
Install from Github:
library("remotes")
install_github("cran/FORTLS")
Install by package version:
library("remotes")
install_version("FORTLS", "1.4.0")
Attach the package and use:
library("FORTLS")
Maintained by
Juan Alberto Molina-Valero
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-01
Latest Update: 2023-08-26
Description:
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, ).
How to cite:
Juan Alberto Molina-Valero (2021). FORTLS: Automatic Processing of Terrestrial-Based Technologies Point Cloud Data for Forestry Purposes. R package version 1.4.0, https://cran.r-project.org/web/packages/FORTLS. Accessed 28 Jan. 2025.
Previous versions and publish date:
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Other R packages that FORTLS depends,
imports, suggests or enhances
Complete documentation for FORTLS
Functions, R codes and Examples using
the FORTLS R package
Some associated functions: FORTLS-package . Rioja.data . Rioja.simulations . angle_count_cpp . correlations . distance.sampling . estimation.plot.size . fixed_area_cpp . height_perc_cpp . k_tree_cpp . metrics.variables . ncr_point_cloud_double . normalize . optimize.plot.design . relative.bias . simulations . tree.detection.multi.scan . tree.detection.several.plots . tree.detection.single.scan . weighted_mean_arit . weighted_mean_geom . weighted_mean_harm . weighted_mean_sqrt .
Some associated R codes: RcppExports.R . auxiliary.functions.R . correlations.R . distance.sampling.R . estimation.plot.size.R . metrics.variables.R . normalize.R . optimize.plot.design.R . relative.bias.R . simulations.R . tree.detection.multi.scan.R . tree.detection.several.plots.R . tree.detection.single.scan.R . Full FORTLS package functions and examples
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