Ubuntu Manpage: r.kappa - Calculate error matrix and kappa parameter for accuracy assessment of classification result.

NAME

       r.kappa  - Calculate error matrix and kappa parameter for accuracy assessment of classification result.

KEYWORDS

       raster, statistics

SYNOPSIS

       r.kappa
       r.kappa help
       r.kappa   [-wqh]   classification=name   reference=name    [output=name]    [title=string]    [--verbose]
       [--quiet]

   Flags:
       -w
           Wide report
           132 columns (default: 80)

       -q
           Quiet

       -h
           No header in the report

       --verbose
           Verbose module output

       --quiet
           Quiet module output

   Parameters:
       classification=name
           Name of raster map containing classification result

       reference=name
           Name of raster map containing reference classes

       output=name
           Name for output file containing error matrix and kappa

       title=string
           Title for error matrix and kappa
           Default: ACCURACY ASSESSMENT

DESCRIPTION

r.kappa tabulates the error matrix of classification result by crossing classified map layer with respect
to reference map layer. Both overall kappa (accompanied by its variance) and conditional kappa values
are calculated. This analysis program respects the current geographic region and mask settings.

r.kappa calculates the error matrix of the two map layers and prepares the table from which the report is
to be created. kappa values for overall and each classes are computed along with their variances. Also
percent of commission and ommission error, total correct classified result by pixel counts, total area in
pixel counts and percentage of overall correctly classified pixels are tabulated.

The report will be write to an output file which is in plain text format and named by user at prompt of
running the program.

The body of the report is arranged in panels. The classified result map layer categories is arranged
along the vertical axis of the table, while the reference map layer categories along the horizontal axis.
Each panel has a maximum of 5 categories (9 if wide format) across the top. In addition, the last column
of the last panel reflects a cross total of each column for each row. All of the categories of the map
layer arranged along the vertical axis, i.e., the reference map layer, are included in each panel.
There is a total at the bottom of each column representing the sum of all the rows in that column.

NOTES

       It is recommended to reclassify categories of classified result map layer into a more  manageable  number
       before  running  r.kappa  on the classified raster map layer. Because r.kappa calculates and then reports
       information for each and every category.

       NA's in output file mean non-applicable in case MASK exists.

EXAMPLE

       Verification of classified LANDSAT scene against training areas:
       r.kappa -w classification=lsat7_2002_classes reference=training

AUTHOR

       Tao Wen, University of Illinois at Urbana-Champaign, Illinois

       Last changed: $Date: 2012-12-16 04:47:36 -0800 (Sun, 16 Dec 2012) $

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       © 2003-2013 GRASS Development Team

GRASS 6.4.3                                                                                      r.kappa(1grass)