DESCRIPTION
r.stats calculates the area present in each of the categories
or floating-point intervals of user-selected input raster map. Area
statistics are given in units of square meters and/or cell
counts. This analysis uses the current geographic region
(g.region) and mask settings
(r.mask). The output statistics can
be saved to a output file.
Area statistics is printed in square meters for each category
when -a is given. Similarly if -c flag is chosen, areas
will be stated also in number of cells.
NOTES
If a single raster map is specified, a list of categories will be
printed. If multiple raster maps are specified, a cross-tabulation
table for each combination of categories in the raster maps will be
printed.
For example, if one raster map was specified, the output would look like:
1 1350000.00
2 4940000.00
3 8870000.00
0 0 0 8027500.00
0 1 0 1152500.00
1 0 0 164227500.00
1 0 1 2177500.00
1 1 0 140092500.00
1 1 1 3355000.00
2 0 0 31277500.00
2 0 1 2490000.00
2 1 0 24207500.00
2 1 1 1752500.00
3 0 0 17140000.00
3 1 0 11270000.00
3 1 1 2500.00
Note that the user has only the option of printing out cell statistics
in terms of cell counts and/or area totals. Users wishing to use
different units than are available here should
use r.report.
EXAMPLES
Report area for each category in the single raster map:
r.stats -a in=geology_30m nv=no-data sep=tab
217     71960000.000000
262     19760000.000000
270     67760000.000000
405     25120000.000000
583     2520000.000000
720     480000.000000
766     840000.000000
862     6560000.000000
910     4360000.000000
921     1200000.000000
946     360000.000000
948     80000.000000
no-data 33375200000.000004
r.stats -cn in=geology_30m sort=desc
217 1799
270 1694
405 628
262 494
862 164
910 109
583 63
921 30
766 21
720 12
946 9
948 2
r.stats -nacp in=towns,urban sep=tab
1       55      23840000.000000 596     11.89%
2       55      13680000.000000 342     6.82%
3       55      1360000.000000  34      0.68%
4       55      16040000.000000 401     8.00%
5       55      98240000.000000 2456    48.98%
6       55      19760000.000000 494     9.85%
r.stats -an in=elevation nsteps=10 sort=desc sep=tab
95.879221-105.954329    36440000.000000
85.804114-95.879221     30800000.000000
105.954329-116.029436   30080000.000000
116.029436-126.104543   27960000.000000
126.104543-136.17965    26440000.000000
136.17965-146.254757    20880000.000000
75.729007-85.804114     15880000.000000
65.6539-75.729007       6040000.000000
146.254757-156.329865   5720000.000000
55.578793-65.6539       760000.000000
SEE ALSO
g.region,
r.report,
r.coin,
r.describe,
r.stats.quantile,
r.stats.zonal,
r.statistics,
r.univar
AUTHORS
Michael Shapiro, U.S. Army Construction Engineering Research Laboratory
Sort option by Martin Landa, Czech Technical University in Prague, 2013
Last changed: $Date: 2014-12-12 00:16:30 +0100 (Fri, 12 Dec 2014) $