Changes in version 2025-08-27                      

Improvements:

  - The tutorial vignette lacunr-tutorial.Rmd has been edited to clarify
    the relationship between raw lacunarity and the proportion of
    occupied space.
  - External package anchors have been added to function documentation,
    per CRAN guidelines.
  - The test suite now covers the periodic boundary algorithm.
  - Fixed broken URLs.
  - Package now has a CITATION file.

                     Changes in version 2024-06-03                      

New features:

  - New plotting functions lac_plot(), lacnorm_plot(), and hr_plot() now
    let users conveniently plot lacunarity or H(r) curves returned by
    lacunarity().
  - Package now has a sample LiDAR dataset, glassfire.
  - Package now includes tutorial vignettes.
  - Package now has a working test suite.

Improvements:

  - Package is now set up for CI via Github Actions.
  - Minor tweaks to lacunarity():
      - The periodic argument now has improved error handling.
      - The underlying C++ function received a minor change to simplify
        how it calculates lacunarity at the smallest box size. This
        shouldn't alter the output.
  - Improvements to error handling of bounding_box() and voxelize().
  - Removed C++11 requirement from Makevars[.win] to make the package
    compatible with R version 4.3. This may cause issues building the
    package with R versions <= 3.5 on systems with very old compilers.
  - Various bug fixes in the package documentation to satisfy R CMD
    check --- mainly issues involving formatting of DOIs and removing
    broken URLs.

                     Changes in version 2024-03-11                      

New features:

  - New function pad_array() added.
  - lacunarity() now computes H(r) curves in addition to lacunarity
    values.

                     Changes in version 2023-12-11                      

Initial public launch

  - Core functions voxelize(), bounding_box(), and lacunarity()
    implemented.
  - bounding_box() includes S3 method for lasmetrics3d class created by
    lidR::voxel_metrics(), as well as lacunr's native lac_voxels class
    created by voxelize().