lacunr: Fast 3D Lacunarity for Voxel Data

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>.

Version: 1.0.1
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 1.0.10), data.table, abind, ggplot2, rlang
LinkingTo: Rcpp, RcppArmadillo, RcppThread
Suggests: knitr, lidR, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-06-04
DOI: 10.32614/CRAN.package.lacunr
Author: Elliott Smeds ORCID iD [aut, cre, cph], J. Antonio Guzmán Q. [cph] (Author of original version of voxelize() function)
Maintainer: Elliott Smeds <elliott.alfred93 at>
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: lacunr results


Reference manual: lacunr.pdf
Vignettes: Computing 3D lacunarity with 'lacunr'
'lacunr' Quick-start guide
Interfacing with 'lidR'


Package source: lacunr_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): lacunr_1.0.1.tgz, r-oldrel (arm64): not available, r-release (x86_64): lacunr_1.0.1.tgz, r-oldrel (x86_64): not available


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