Ubuntu Manpage: r.statistics - Calculates category or object oriented statistics.

NAME

       r.statistics  - Calculates category or object oriented statistics.

KEYWORDS

       raster, statistics, zonal statistics

SYNOPSIS

       r.statistics
       r.statistics --help
       r.statistics  [-c] 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

       --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:  diversity,  average,  mode,  median,  avedev,  stddev,  variance,  skewness,
           kurtosis, min, max, sum
           diversity: Diversity of values in specified objects in %%
           average: Average of values in specified objects
           mode: Mode of values in specified objects
           median: Median of values in specified objects
           avedev: Average deviation of values in specified objects
           stddev: Standard deviation of values in specified objects
           variance: Variance of values in specified objects
           skewness: Skewnes of values in specified objects
           kurtosis: Kurtosis of values in specified objects
           min: Minimum of values in specified objects
           max: Maximum of values in specified objects
           sum: Sum of values in specified objects

       output=name [required]
           Resultant raster map

DESCRIPTION

r.statistics is a tool to analyse exploratory statistics of a categorical "cover layer"
according to how it intersects with objects in a "base layer". A variety of standard
statistical measures are possible (called "zonal statistics" in some GIS). All cells in
the base layer are considered one object for the analysis. For some applications, one
will first want to prepare the input data so that all areas of contiguous cell category
values in the base layer are uniquely identified, which can be done with r.clump.
The available methods are the following:

• average deviation

• average

• diversity

• kurtosis

• maximum

• median

• minimum

• mode

• skewness

• standard deviation

• sum

• variance
The calculations will be performed on each area of data of the cover layers which fall
within each unique value, or category, of the base layer.

Setting the -c flag the category labels of the covering raster layer will be used. This
is nice to avoid the GRASS limitation to integer in raster maps because using category
values floating point numbers can be stored.

All calculations create an output layer. The output layer is a reclassified version of
the base layer with identical category values, but modified category labels - the results
of the calculations are stored in the category labels of the output layer.

NOTES

       For  floating-point  cover  map  support, see the alternative r.stats.zonal.  For quantile
       calculations  with  support  for  floating-point   cover   maps,   see   the   alternative
       r.stats.quantile.

EXAMPLES

       Calculation of average elevation of each field in the Spearfish region:
       r.statistics base=fields cover=elevation.dem out=elevstats method=average
       r.category elevstats
       r.mapcalc "fieldelev = @elevstats"
       r.univar fieldelev

AUTHOR

       Martin Schroeder, Geographisches Institut Heidelberg, Germany

SOURCE CODE

       Available at: r.statistics source code (history)

       Accessed: Thursday Aug 01 11:30:23 2024

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       © 2003-2024 GRASS Development Team, GRASS GIS 8.4.0 Reference Manual