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

       Glynn Clements

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 zonalstatistics.  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.

       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

       Figure:ZIPcodemapontheleftshowsZIPcodeareas,elevationmaptherespectivevaluesperpixel,zonalstatisticsmapontherightshowstheaverageelevationperzone(allmaps:spatialsubset).

       raster, statistics, zonal statistics

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

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.

           •   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.

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

       Accessed: Friday Apr 04 01:19:35 2025

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       © 2003-2025 GRASS Development Team, GRASS GIS 8.4.1 Reference Manual

GRASS 8.4.1                                                                                r.stats.zonal(1grass)

r.stats.zonalr.stats.zonal--helpr.stats.zonal  [-cr] base=namecover=namemethod=stringoutput=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,kurtosis2count: 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