lacunr
Quick-start guideThe standard workflow for lacunr
is fairly simple:
voxelize()
bounding_box()
lacunarity()
library(lacunr)
# create a data.frame of simulated point cloud data
set.seed(5678)
pc <- data.frame(X = rnorm(1000, 10), Y = rnorm(1000, 50), Z = rnorm(1000, 25))
# convert to voxels of size 0.5
vox <- voxelize(pc, edge_length = c(0.5, 0.5, 0.5))
# generate 3D array
box <- bounding_box(vox)
# calculate lacunarity curve
lac_curve <- lacunarity(box)
Lacunarity and H(r) curves can be plotted using
lac_plot()
, lacnorm_plot()
, or
hr_plot()
:
3D arrays generated by bounding_box()
can have their
dimensions selectively increased using pad_array()
:
# add two layers of empty space to the Z axis of the array
box_pad1 <- pad_array(box, z = 2)
# add two layers of occupied space to the Y axis of the array
box_pad2 <- pad_array(box, y = 2, fill = 1)
For more extensive explanation on these functions and their use,
please see the package documentation (available by typing
?lacunr
into your console), or the other vignettes via
browseVignettes("lacunr")
.