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lacunr  

Fast 3D Lacunarity for Voxel Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("lacunr", "1.0.1")



Attach the package and use:
library("lacunr")
Maintained by
Elliott Smeds
[Scholar Profile | Author Map]
First Published: 2024-06-04
Latest Update: 2024-06-04
Description:
Calculates 3D lacunarity from voxel data. It is designed for use with point clouds generated from Light Detection And Ranging (LiDAR) scans in order to measure the spatial heterogeneity of 3-dimensional structures such as forest stands. It provides fast 'C++' functions to efficiently bin point cloud data into voxels and calculate lacunarity using different variants of the gliding-box algorithm originated by Allain & Cloitre (1991) <doi:10.1103/PhysRevA.44.3552>.
How to cite:
Elliott Smeds (2024). lacunr: Fast 3D Lacunarity for Voxel Data. R package version 1.0.1, https://cran.r-project.org/web/packages/lacunr. Accessed 02 Feb. 2025.
Previous versions and publish date:
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Complete documentation for lacunr
Functions, R codes and Examples using the lacunr R package
Full lacunr package functions and examples
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