NAME¶
r3.univar - Calculates univariate statistics from the non-null 3d
cells of a raster3d map.
KEYWORDS¶
raster3d, voxel, statistics
SYNOPSIS¶
r3.univar
r3.univar help
r3.univar [-
get]
input=
name
[
zones=
name] [
output=
name]
[
percentile=
float[,
float,...]]
[
fs=
character] [--
verbose] [--
quiet]
Flags:¶
- -g
-
Print the stats in shell script style
- -e
-
Calculate extended statistics
- -t
-
Table output format instead of standard output format
- --verbose
-
Verbose module output
- --quiet
-
Quiet module output
Parameters:¶
- input=name
-
Name of input raster3d map
- zones=name
-
3D Raster map used for zoning, must be of type CELL
- output=name
-
Name for output file (if omitted or "-" output to stdout)
- percentile=float[,float,...]
-
Percentile to calculate (requires extended statistics flag)
Options: 0-100
Default: 90
- fs=character
-
Field separator
Special characters: space, comma, tab
Default: |
DESCRIPTION¶
r3.univar calculates the univariate statistics for raster3d maps. This
includes the number of cells counted, minimum and maximum cell values, range,
arithmetic mean, population variance, standard deviation, and coefficient of
variation. Statistics are calculated separately for every category/zone found
in the
zones input map if given. If the
-e extended statistics
flag is given the 1st quartile, median, 3rd quartile, and given
percentile are calculated. If the
-g flag is given the results
are presented in a format suitable for use in a shell script. If the
-t
flag is given the results are presented in tabular format with the given field
separator. The table can immediately be converted to a vector attribute table
which can then be linked to a vector, e.g. the vector that was rasterized to
create the
zones input raster.
NOTES¶
As with most GRASS raster3d modules,
r3.univar operates on the voxel
array defined by the current 3d region settings, not the original extent and
resolution of the input map. See
g.region.
This module can use large amounts of system memory when the
-e extended
statistics flag is used with a very large region setting. If the region is too
large the module should exit gracefully with a memory allocation error. Basic
statistics can be calculated using any size input region.
TODO¶
mode, skewness, kurtosis
SEE ALSO¶
g.region, r.univar, r.average, r.median,
r.mode, r.quantile, r.sum, r.series,
r3.stats, v.rast.stats, r.statistics, v.univar
AUTHORS¶
Soeren Gebbert
Code is based on r.univar from
Hamish Bowman, Otago University, New Zealand
and Martin Landa
Zonal loop by Markus Metz
Last changed: $Date: 2012-08-14 11:11:23 +0200 (Tue, 14 Aug 2012) $
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