r.stats.quantile(1)

NAME
r.stats.quantile - Compute category quantiles using two passes.

KEYWORDS
raster, statistics, zonal statistics, percentile, quantile

SYNOPSIS
r.stats.quantile
r.stats.quantile --help
r.stats.quantile [-rpt] base=name cover=name [quantiles=integer] [percentiles=float[,float,...]] [bins=integer] [output=name[,name,...]] [file=name] [separator=character] [--overwrite] [--help] [--verbose] [--quiet] [--ui]

  Flags:

-r
    Create reclass map with statistics as category labels

-p
    Do not create output maps; just print statistics

-t
    Print statistics in table format

--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:

base=name [required]
    Name of base raster map

cover=name [required]
    Name of cover raster map

quantiles=integer
    Number of quantiles

percentiles=float[,float,...]
    List of percentiles
    Default: 50

bins=integer
    Number of bins to use
    Default: 1000

output=name[,name,...]
    Resultant raster map(s)

file=name
    Name for output file (if omitted or "-" output to stdout)

separator=character
    Field separator
    Special characters: pipe, comma, space, tab, newline
    Default: :

DESCRIPTION
r.stats.quantile is a tool to analyse exploratory statistics of a floating-point "cover layer" according to how it intersects with objects in a "base layer". It provides quantile calculations as selected "zonal statistics".

NOTES
r.stats.quantile is intended to be a partial replacement for r.statistics, with support for floating-point cover maps. It provides quantile calculations, which are absent from r.stats.zonal.

EXAMPLE
In this example, the raster polygon map zipcodes in the North Carolina sample dataset is used to calculate quantile raster statistics using the elevation raster map:

g.region raster=zipcodes -p
# print quantiles
r.stats.quantile base=zipcodes cover=elevation quantiles=3 -p
27511:0:33.333333:134.717392
27511:1:66.666667:143.985723
27513:0:33.333333:140.669993
27513:1:66.666667:146.279449
27518:0:33.333333:115.140101
27518:1:66.666667:129.893723
[...]
# write out percentile raster maps
r.stats.quantile base=zipcodes cover=elevation percentiles=25,50,75 \
  output=zipcodes_elev_q25,zipcodes_elev_q50,zipcodes_elev_q75

SEE ALSO
r.quantile, r.stats.zonal, r.statistics

AUTHOR
Glynn Clements
Markus Metz

SOURCE CODE

Available at: r.stats.quantile source code (history)

Accessed: Sunday Sep 03 20:18:03 2023

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