stand_counting: Stand Counting

In rTLS: Processing of Point Clouds Derived from Terrestrial Laser Scanning

Stand Counting

Description

Applies the voxels_counting function on a grid base point cloud.

Usage

stand_counting(
  cloud,
  xy.res,
  z.res = NULL,
  points.min = NULL,
  min_size,
  edge_sizes = NULL,
  length_out = 10,
  bootstrap = FALSE,
  R = NULL,
  progress = TRUE,
  parallel = FALSE,
  threads = NULL
)

Arguments

cloud	A data.table of a point cloud with xyz coordinates in the first three columns.
xy.res	A positive numeric vector describing the grid resolution of the xy coordinates to perform.
z.res	A positive numeric vector of length 1 describing the vertical resolution. If z.res = NULL vertical profiles are not used.
points.min	A positive numeric vector of length 1 minimum number of points to retain a sub-grid.
min_size	A positive numeric vector of length 1 describing the minimum cube edge length to perform. This is required if edge_sizes = NULL.
edge_sizes	A positive numeric vector describing the edge length of the different cubes to perform within each subgrid when z.res = NULL. If edge_sizes = NULL, it uses the maximum range of values for the xyz coordinates.
length_out	A positive interger of length 1 indicating the number of different edge lengths to use for each subgrid. This is required if edge_sizes = NULL.
bootstrap	Logical. If TRUE, it computes a bootstrap on the H index calculations. FALSE as default.
R	A positive integer of length 1 indicating the number of bootstrap replicates. This need to be used if bootstrap = TRUE.
progress	Logical, if TRUE displays a graphical progress bar. TRUE as default.
parallel	Logical, if TRUE it uses a parallel processing for the voxelization. FALSE as default.
threads	An integer >= 0 describing the number of threads to use. This need to be used if parallel = TRUE.

Value

A data.table with the summary of the voxels per grid created with their features.

Author(s)

J. Antonio Guzmán Q.

See Also

voxels_counting, voxels, summary_voxels

Examples

data(pc_tree)

#Applying stand_counting.

stand_counting(pc_tree, xy.res = c(4, 4), min_size = 3)


#Applying stand_counting using bootstrap in the H index.

stand_counting(pc_tree,
               xy.res = c(4, 4),
               min_size = 3,
               bootstrap = TRUE,
               R = 10)

rTLS documentation built on Dec. 28, 2022, 1:28 a.m.