table of contents
r.stats.zonal(1grass) | GRASS GIS User's Manual | r.stats.zonal(1grass) |
NAME¶
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 a tool to analyse exploratory statistics of a floating-point "cover layer" according to how it intersects with objects in a "base layer". A variety of standard statistical measures are possible. This type of analysis is often called zonal statistics. The zones are specified as the base raster map and the statistics are computed from cells in the cover raster map. Notably, the output of this module is spatial: The resulting values are recorded as cell values in the output raster map.
NOTES¶
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 supporting quantiles. For this, see r.stats.quantile.
EXAMPLE¶
In this example, the raster polygon map zipcodes in the North
Carolina sample dataset is used to calculate zonal raster statistics using
the elevation raster map:
g.region raster=zipcodes -p # pixel count in zipcode areas r.stats.zonal base=zipcodes cover=elevation method=count output=zipcodes_elev_count r.colors zipcodes_elev_count color=gyr -g # average elevation in zipcode areas r.stats.zonal base=zipcodes cover=elevation method=average output=zipcodes_elev_avg r.colors zipcodes_elev_avg color=elevation -g
SEE ALSO¶
- r.stats.quantile for computing quantiles in zones (objects in base raster map),
- r.quantile for computing quantiles of a whole raster map,
- r.statistics for categorical (integer) zonal statistics,
- r.univar for zonal statistics with textual (non-spatial) output,
- v.vect.stats for statistics of vector points in vector areas.
AUTHOR¶
Glynn Clements
SOURCE CODE¶
Available at: r.stats.zonal source code (history)
Accessed: Sunday Jan 22 07:36:31 2023
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