1r.volume(1)                   Grass User's Manual                  r.volume(1)
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NAME

6       r.volume   -  Calculates  the volume of data "clumps", and (optionally)
7       produces a GRASS vector points map containing the calculated  centroids
8       of these clumps.
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KEYWORDS

11       raster
12

SYNOPSIS

14       r.volume
15       r.volume help
16       r.volume    [-f]   data=string    [clump=string]     [centroids=string]
17       [--overwrite]  [--verbose]  [--quiet]
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19   Flags:
20       -f
21           Generate unformatted report
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23       --overwrite
24           Allow output files to overwrite existing files
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26       --verbose
27           Verbose module output
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29       --quiet
30           Quiet module output
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32   Parameters:
33       data=string
34           Existing raster map representing data that will  be  summed  within
35           clumps
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37       clump=string
38           Existing raster map, preferably the output of r.clump
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40       centroids=string
41           Vector points map to contain clump centroids
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DESCRIPTION

44       r.volume  is a tool for summing cell values within clumps and calculat‐
45       ing volumes and centroids of patches or clumps.
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47       r.volume generates a table containing the  sum  of  all  cells  from  a
48       data_map layer sorted by category on a clump map, and optionally gener‐
49       ates a vector points map of the centroids for each clump.  If  a  clump
50       map  is not specified, the current MASK is used.  The sum is multiplied
51       by the area of a cell to give the volume occupied by  that  cell.   See
52       below for an example of the output table.
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NOTES

55       If  a clump map is not given and a MASK not set, the program exits with
56       an error message.
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58       r.volume works in the current region and respects the current MASK.
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EXAMPLE

61       The following report was generated  by  the  command:  (spearfish  data
62       base; fields.only is the fields layer without the National Forest cate‐
63       gory)
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65       r.volume data=elevation clump=fields.only centroids=field.centers
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68       Volume report on data from elevation using clumps on fields.only map
69        Cat    Average   Data   # Cells        Centroid             Total
70       Number  in clump  Total  in clump   Easting   Northing       Volume
71           1   1181.09   75590      64   595500.00  4927700.00   755900000.00
72           2   1163.50   69810      60   597100.00  4927700.00   698100000.00
73           3   1146.83   34405      30   598300.00  4927700.00   344050000.00
74           4   1193.20  366311     307   599400.00  4927300.00  3663110000.00
75               .....
76               .....
77               .....
78          60   1260.08  351563     279   603100.00  4921000.00  3515630000.00
79          61   1213.93   35204      29   603700.00  4921500.00   352040000.00
80          62   1207.71   33816      28   604100.00  4921500.00   338160000.00
81                                                Total Volume = 67226740000.00
82        The Data Total column is the sum of the elevations for each in each of
83       the  fields.  The Total Volume is the sum multiplied by the e-w resolu‐
84       tion times the n-s resolution.  Note that the units on the  volume  may
85       be  difficult if the units of cell values on the data_map layer and the
86       resolution units differ.
87
88   CENTROIDS
89       The centroid coordinates are the same as those stored in the sites file
90       (if  one  was requested).  They are guaranteed to fall on a cell of the
91       appropriate category, thus they are not always the  true,  mathematical
92       centroid.  They will always fall at a cell center.
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94   FORMAT OF CENTROIDS table
95       For  each  line  of  above table the vector points table contains these
96       columns: easting, northing, cat, volume, average, sum, count
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98       This can be converted directly to a raster map with each point a  sepa‐
99       rate category using v.to.rast.
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101   APPLICATIONS
102       By  preprocessing the elevation layer with r.mapcalc and using suitable
103       masking or clump maps, very interesting applications can be  done  with
104       r.volume.   Such  as,  calculating  the  volume  of rock in a potential
105       quarry; calculating cut/fill volumes for roads; finding  water  volumes
106       in potential reservoirs.  Data layers of other measures of real values.
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AUTHOR

109       Dr. James Hinthorne, Central Washington University GIS Laboratory
110       December 1988.
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112       Full index
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114       © 2003-2008 GRASS Development Team
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118GRASS 6.3.0                                                        r.volume(1)
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