lacunr-package: lacunr: Fast 3D Lacunarity for Voxel Data

lacunr-packageR Documentation

lacunr: Fast 3D Lacunarity for Voxel Data

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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1103/PhysRevA.44.3552")}.

Author(s)

Maintainer: Elliott Smeds elliott.alfred93@gmail.com (ORCID) [copyright holder]

Other contributors:

  • J. Antonio Guzmán Q. (Author of original version of voxelize() function) [copyright holder]

See Also

Useful links:


lacunr documentation built on June 22, 2024, 10:49 a.m.