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 [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 Materials: README NEWS CRAN checks: lacunr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=lacunr to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4