r.stats.quantile(1grass) | Grass User's Manual | r.stats.quantile(1grass) |
r.stats.quantile - Compute category quantiles using two passes.
raster, statistics, percentile, quantile
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]
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".
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.
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
r.quantile, r.stats.zonal, r.statistics
Glynn Clements
Markus Metz
Last changed: $Date: 2017-05-07 22:27:56 +0200 (Sun, 07 May 2017) $
Available at: r.stats.quantile source code (history)
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