r.stats.quantile(1grass) | GRASS GIS User's Manual | r.stats.quantile(1grass) |
r.stats.quantile - Compute category quantiles using two passes.
raster, statistics, zonal 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.
Quantiles are calculated following algorithm 7 from Hyndman and Fan (1996), which is also the default in R and numpy.
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
Available at: r.stats.quantile source code (history)
Accessed: Sunday Jan 22 07:36:31 2023
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