r3.stats.1grass man page

r3.stats — Generates volume statistics for 3D raster maps.

Keywords

raster3d, statistics, voxel

Synopsis

r3.stats
r3.stats --help
r3.stats [-ec] input=name [nsteps=integer] [--help] [--verbose] [--quiet] [--ui]

Flags

-e
Calculate statistics based on equal value groups
-c
Only print cell counts
--help
Print usage summary
--verbose
Verbose module output
--quiet
Quiet module output
--ui
Force launching GUI dialog

Parameters

input=name [required]
Name of input 3D raster map
nsteps=integer
Number of subranges to collect stats from
Default: 20

Description

r3.stats calculates volume statistics for 3D raster maps. Volumes are created on base of value subranges or groups of equal values. The default number of subranges is 20 and can vary from 1 to infinite. Larger number of subranges will result in larger memory consumption. The volumes are calculated in qubic meters. Null values are marked with "*". If the flag -e is set, the number of subranges will be ignored.

Notes

As with most GRASS 3D raster map modules, r3.stats operates on the cell array defined by the current 3D region settings, not the original extent and resolution of the input map. See g.region.

The region setting will not effect the memory consumption of this module. The number of subranges in case of value range calculation or the number of equal value groups effect the memory consumption and the calculation time. The user can expect a huge time consumption to calculate the equal value groups (flag -e) if large region settings occur for maps which have many equal value groups (> 100000).

Examples

Lausanne FOSS4G 2006 3D demo dataset example

The 3D raster map geology has three values. Each value represents a specific geological layer, clay = 1, sand = 2 and bedrock = 3. To calculate the volume of each geological layer, we can use the flag -e to group equal values into single volumes. r3.stats geology -e will produce the following output:

  num   |        value       |     volume    |   perc  |    count
      1             1.000000   300822000.000   50.13700        50137
      2             2.000000   101400000.000   16.90000        16900
      3             3.000000   197778000.000   32.96300        32963
      4                    *           0.000   0.00000            0
Number of groups with equal values: 3
Sum of non Null cells:
        Volume = 600000000.000
        Percentage = 100.000
        Count = 100000
Sum of all cells:
        Volume = 600000000.000
        Percentage = 100.000
        Count = 100000

Generic example

#create a small 3D region
g.region n=1000 s=0 e=2000 w=0 t=300 b=0 res3=100
#create a raster3D map with row() and null values
r3.mapcalc "volmap = if(row() == 5, null(), row())"
#run r3.stats with a subrange of 10
r3.stats input=volmap nsteps=10
#the result should look like this
 num   | minimum <= value   | value < maximum    |     volume    |   perc  | cell count
      1          1.000000000          1.900000000    60000000.000   10.00000           60
      2          1.900000000          2.800000000    60000000.000   10.00000           60
      3          2.800000000          3.700000000    60000000.000   10.00000           60
      4          3.700000000          4.600000000    60000000.000   10.00000           60
      5          4.600000000          5.500000000           0.000   0.00000            0
      6          5.500000000          6.400000000    60000000.000   10.00000           60
      7          6.400000000          7.300000000    60000000.000   10.00000           60
      8          7.300000000          8.200000000    60000000.000   10.00000           60
      9          8.200000000          9.100000000    60000000.000   10.00000           60
     10          9.100000000         10.000000001    60000000.000   10.00000           60
     11                    *                    *    60000000.000   10.00000           60
Sum of non Null cells:
        Volume = 540000000.000
        Percentage =  90.000
        Cell count = 540
Sum of all cells:
        Volume = 600000000.000
        Percentage = 100.000
        Cell count = 600

See Also

g.region, r3.univar, r.stats, r.statistics, v.univar

Author

Sören Gebbert

Last changed: $Date: 2013-02-07 01:56:17 -0800 (Thu, 07 Feb 2013) $

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