Provided by: grass-doc_7.8.2-1build3_all 
NAME
r.stats - Generates area statistics for raster map.
KEYWORDS
raster, statistics
SYNOPSIS
r.stats
r.stats --help
r.stats [-acpl1gxArnNCi] input=name[,name,...] [output=name] [separator=character]
[null_value=string] [nsteps=integer] [sort=string] [--overwrite] [--help] [--verbose] [--quiet]
[--ui]
Flags:
-a
Print area totals in square meters
-c
Print cell counts (sortable)
-p
Print approximate (total percent may not be 100%) percents
-l
Print category labels
-1
One cell (range) per line
-g
Print grid coordinates (east and north)
-x
Print x and y (column and row)
Indexing starts with 1: first column and row are 1
-A
Print averaged values instead of intervals (floating-point maps only)
-r
Print raw indexes of floating-point ranges (floating-point maps only)
-n
Do not report no data value
-N
Do not report cells where all maps have no data
-C
Report for cats floating-point ranges (floating-point maps only)
-i
Read floating-point map as integer (use map’s quant rules)
--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:
input=name[,name,...] [required]
Name of raster map(s) to report on
output=name
Name for output file (if omitted or "-" output to stdout)
separator=character
Field separator
Special characters: pipe, comma, space, tab, newline
Default: space
null_value=string
String representing NULL value
Default: *
nsteps=integer
Number of floating-point subranges to collect stats from
Default: 255
sort=string
Sort output statistics by cell counts
Default: sorted by categories or intervals
Options: asc, desc
asc: Sort by cell counts in ascending order
desc: Sort by cell counts in descending order
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. The -x flag will print x and
y (column and row) starting with 1 (both first row and first column are indexed with 1). 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
If three raster maps were specified, the output would look like:
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
Within each grouping, the first field represents the category value of first raster map, the second
represents the category values associated with second raster map, the third represents category values
for third raster map, and the last field gives the area in square meters for the particular combination
of these three raster maps’ categories. For example, above, combination 3,1,1 covered 2500 square meters.
Fields are separated by the separator option. The output from r.stats is sorted by category or category
intervals (for floating-point raster maps).
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
Report area for each category in the single raster map:
g.region raster=geology_30m
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
Report sorted number of cells for each category
Report sorted number of cells for each category in the single raster map (suppress NULL data):
g.region raster=geology_30m
r.stats -cn input=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
Report area, number of cells, and percents in multiple raster maps
Report area, number of cells, and percents (separated by tabs) for each category in multiple raster maps
(suppress NULL data):
g.region raster=towns
r.stats -nacp input=towns,urban separator=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%
Report sorted area intervals of floating-point raster map
Report sorted area for each interval of floating-point input raster map. Number of intervals are given by
nsteps option.
g.region raster=elevation
r.stats -an input=elevation nsteps=10 sort=desc separator=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
Report raster cell counts in multiple raster maps
Report raster cell counts of landuse and geological categories within zipcode areas:
g.region raster=zipcodes
# landuse/landcover and zipcodes
r.stats -c input=landclass96,zipcodes separator=comma
# landuse/landcover, geology and zipcodes with category labels
r.stats -c input=landclass96,zipcodes,geology_30m separator=comma -l
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
SOURCE CODE
Available at: r.stats source code (history)
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