lacunr 1.0.1
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.
lacunr 0.2.0 (Release
date: 2024-03-11)
New features:
- New function
pad_array()
added.
lacunarity()
now computes H(r) curves in addition to
lacunarity values.
lacunr 0.1.1 (Release
date: 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()
.