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

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) $

       Full index

       © 2003-2013 GRASS Development Team