lacunr: Fast 3D Lacunarity for Voxel Data (original) (raw)
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: | 1.0.2 |
|---|---|
| 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: | 2025-08-27 |
| DOI: | 10.32614/CRAN.package.lacunr |
| Author: | Elliott Smeds  [aut, cre, cph], J. Antonio Guzmán Q. [cph] (Author of original version of voxelize() function) |
| Maintainer: | Elliott Smeds <elliott.alfred93 at gmail.com> |
| BugReports: | https://github.com/ElliottSmeds/lacunr/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/ElliottSmeds/lacunr |
| NeedsCompilation: | yes |
| Citation: | lacunr citation info |
| Materials: | README, NEWS |
| CRAN checks: | lacunr results |
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