NAME
r3.in.xyz - Create a 3D raster map from an assemblage of many coordinates using univariate statistics
KEYWORDS
raster3d,
import,
voxel,
LIDAR,
statistics,
conversion,
aggregation,
binning
SYNOPSIS
r3.in.xyz
r3.in.xyz --help
r3.in.xyz [-sgi] input=name output=name [method=string] [type=string] [separator=character] [x=integer] [y=integer] [z=integer] [value_column=integer] [vrange=min,max] [vscale=float] [percent=integer] [pth=integer] [trim=float] [workers=integer] [--overwrite] [--help] [--verbose] [--quiet] [--ui]
Flags:
- -s
- Scan data file for extent then exit
- -g
- In scan mode, print using shell script style
- -i
- Ignore broken lines
- --overwrite
- Allow output files to overwrite existing files
- --help
- Print usage summary
- --verbose
- Verbose module output
- --quiet
- Quiet module output
- --ui
- Force launching GUI dialog
Parameters:
- input=name [required]
- ASCII file containing input data
- output=name [required]
- Name for output raster map
- method=string
- Statistic to use for raster values
- Options: n, min, max, range, sum, mean, stddev, variance, coeff_var, median, percentile, skewness, trimmean
- Default: mean
- type=string
- Storage type for resultant raster map
- Options: float, double
- Default: float
- separator=character
- Field separator
- Special characters: pipe, comma, space, tab, newline
- Default: pipe
- x=integer
- Column number of x coordinates in input file (first column is 1)
- Default: 1
- y=integer
- Column number of y coordinates in input file
- Default: 2
- z=integer
- Column number of z coordinates in input file
- Default: 3
- value_column=integer
- Column number of data values in input file
- If not given or set to 0, the data points' z-values are used
- Default: 0
- vrange=min,max
- Filter range for value column data (min,max)
- vscale=float
- Scaling factor to apply to value column data
- Default: 1.0
- percent=integer
- Percent of map to keep in memory
- Options: 1-100
- Default: 100
- pth=integer
- pth percentile of the values
- Options: 1-100
- trim=float
- Discard <trim> percent of the smallest and <trim> percent of the largest observations
- Options: 0-50
- workers=integer
- Number of parallel processes to launch
- Options: 1-256
- Default: 1
r3.in.xyz imports sparse XYZ data from an ASCII file into
a 3D raster map (voxels). It does this by running the
r.in.xyz
module multiple times for different z-ranges and then assembling the
slices with
r.to.rast3.
See the r.in.xyz help page for general
parameter usage and tips.
The map is created using the rows, columns, and depths set by
current region settings. Be sure to check and adjust these with
the g.region module before performing the import.
You may either use the z-value as the data value for the voxel
(e.g. with the 'n' statistic), or alternately scan another
column for the data values to bin into the voxels. This alternate
data column can be both filtered by range and have a scaling
factor applied to it.
The 2D and 3D horizontal region resolutions must match. See the
EXAMPLES section below.
Unlike r.in.xyz, reading from stdin and z-scaling are not
possible. Filtering by z-range is accomplished by setting the 3D region.
To enable parallel processing support, set the workers= option
to match the number of CPUs or CPU-cores available on your system.
Alternatively, the WORKERS environment variable can be set
to the number of concurrent processes desired.
Points falling exactly on a vertical bound will belong to the depth
band below them, except for points exactly on the top bound, which will
belong to the top-most slice.
The script is expected to be nearly as efficient as if it was fully
written in C.
Using the Serpent Mound dataset. (see the
GRASS LiDAR wiki page)
#scan dataset for extent:
r3.in.xyz -s in=Serpent_Mound_Model_LAS_Data.txt out=dummy \
x=1 y=2 z=3 separator=space
# set the 2D and 3D regions:
g.region n=4323641.57 s=4320942.61 w=289020.90 e=290106.02 res=1 -a
g.region b=166 t=216 res3=1 tbres=5 -3 -p
r3.in.xyz in=Serpent_Mound_Model_LAS_Data.txt out=serpent3D \
method=mean x=1 y=2 z=3 separator=space type=float
The same, but aggregate and store backscatter strength from column 5
into voxels in instead of the z-value:
r3.in.xyz in=Serpent_Mound_Model_LAS_Data.txt out=serpent3D.bakscat \
method=mean x=1 y=2 z=3 val=5 separator=space type=float
r.to.rast3 always creates a
double output map
regardless of input.
g.region,
r.in.xyz,
r.to.rast3
Hamish Bowman
Dunedin, New ZealandSOURCE CODE
Available at:
r3.in.xyz source code
(history)
Accessed: Sunday Jan 22 07:37:43 2023
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GRASS Development Team,
GRASS GIS 8.2.1 Reference Manual