r.stats.zonal.1grass man page

r.stats.zonal — Calculates category or object oriented statistics (accumulator-based statistics).

Keywords

raster, statistics, zonal statistics

Synopsis

r.stats.zonal
r.stats.zonal --help
r.stats.zonal [-cr] base=name cover=name method=string output=name [--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags

-c
Cover values extracted from the category labels of the cover map
-r
Create reclass map with statistics as category labels
--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
method=string [required]
Method of object-based statistic
Options: count, sum, min, max, range, average, avedev, variance, stddev, skewness, kurtosis, variance2, stddev2, skewness2, kurtosis2
count: Count of values in specified objects
sum: Sum of values in specified objects
min: Minimum of values in specified objects
max: Maximum of values in specified objects
range: Range of values (max - min) in specified objects
average: Average of values in specified objects
avedev: Average deviation of values in specified objects
variance: Variance of values in specified objects
stddev: Standard deviation of values in specified objects
skewness: Skewness of values in specified objects
kurtosis: Kurtosis of values in specified objects
variance2: (2-pass) Variance of values in specified objects
stddev2: (2-pass) Standard deviation of values in specified objects
skewness2: (2-pass) Skewness of values in specified objects
kurtosis2: (2-pass) Kurtosis of values in specified objects
output=name [required]
Resultant raster map

Description

r.stats.zonal is intended to be a partial replacement for r.statistics, with support for floating-point cover maps at the expense of not support quantiles.

See Also

r.quantile, r.stats.quantile, r.statistics

Author

Glynn Clements

Last changed: $Date: 2014-10-08 21:56:35 +0200 (Wed, 08 Oct 2014) $

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