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TapeS  

Tree Taper Curves and Sorting Based on 'TapeR'
View on CRAN: Click here


Download and install TapeS package within the R console
Install from CRAN:
install.packages("TapeS")

Install from Github:
library("remotes")
install_github("cran/TapeS")

Install by package version:
library("remotes")
install_version("TapeS", "0.14.1")



Attach the package and use:
library("TapeS")
Maintained by
Christian Vonderach
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-09
Latest Update: 2025-07-28
Description:
Providing new german-wide 'TapeR' Models and functions for their evaluation. Included are the most common tree species in Germany (Norway spruce, Scots pine, European larch, Douglas fir, Silver fir as well as European beech, Common/Sessile oak and Red oak). Many other species are mapped to them so that 36 tree species / groups can be processed. Single trees are defined by species code, one or multiple diameters in arbitrary measuring height and tree height. The functions then provide information on diameters along the stem, bark thickness, height of diameters, volume of the total or parts of the trunk and total and component above-ground biomass. It is also possible to calculate assortments from the taper curves. For diameter and volume estimation, uncertainty information is given.
How to cite:
Christian Vonderach (2023). TapeS: Tree Taper Curves and Sorting Based on 'TapeR'. R package version 0.14.1, https://cran.r-project.org/web/packages/TapeS. Accessed 27 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:27), 0.12.0 (2023-03-09 10:50), 0.12.1 (2023-03-25 14:30), 0.13.0 (2024-11-26 11:50), 0.13.1 (2025-01-15 09:10), 0.13.2 (2025-01-22 16:10), 0.13.3 (2025-02-14 23:30), 0.13.4 (2025-07-23 19:40)
Other packages that cited TapeS R package
View TapeS citation profile
Other R packages that TapeS depends, imports, suggests or enhances
Complete documentation for TapeS
Functions, R codes and Examples using the TapeS R package
Full TapeS package functions and examples
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