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v.kcv(1grass)               GRASS GIS User's Manual              v.kcv(1grass)

NAME
       v.kcv  - Randomly partition points into test/train sets.

KEYWORDS
       vector, statistics, points, point pattern, sampling

SYNOPSIS
       v.kcv
       v.kcv --help
       v.kcv   map=name   [layer=string]   npartitions=integer   [column=name]
       [--help]  [--verbose]  [--quiet]  [--ui]

   Flags:
       --help
           Print usage summary

       --verbose
           Verbose module output

       --quiet
           Quiet module output

       --ui
           Force launching GUI dialog

   Parameters:
       map=name [required]
           Name of vector map
           Or data source for direct OGR access

       layer=string
           Layer number or name
           Vector features can have category values in different layers.  This
           number determines which layer to use. When used with direct OGR ac-
           cess this is the layer name.
           Default: 1

       npartitions=integer [required]
           Number of partitions
           Must be > 1

       column=name
           Name for new column to which partition number is written
           Default: part

DESCRIPTION
       v.kcv randomly divides a points lists into k sets  of  test/train  data
       (for  npartitions-fold cross validation).  Test partitions are mutually
       exclusive. That is, a point will appear in only one test partition  and
       k-1 training partitions.  The module generates a random point using the
       selected random number generator and then finds the  closest  point  to
       it.  This site is removed from the candidate list (meaning that it will
       not be selected for any other test set) and saved  in  the  first  test
       partition file. This is repeated until enough points have been selected
       for the test partition.  The number of points chosen  for  test  parti-
       tions depends upon the number of sites available and the number of par-
       titions chosen (this number is made as consistent as possible while en-
       suring  that  all  sites  will  be chosen for testing). This process of
       filling up a test partition is done k times.

NOTES
       An ideal random sites generator will follow a Poisson distribution  and
       will  only  be  as random as the original sites. This module simply di-
       vides vector points up in a random manner.

       Be warned that random number generation occurs over the  intervals  de-
       fined by the current region of the map.

       This program may not work properly with Lat-long data.

EXAMPLES
       All examples are based on the North Carolina sample dataset.
       g.copy vect=geonames_wake,my_geonames_wake
       v.kcv map=my_geonames_wake column=part npartitions=10

       g.copy vect=geodetic_pts,my_geodetic_pts
       v.kcv map=my_geodetic_pts column=part npartitions=10

SEE ALSO
        v.random, g.region

AUTHOR
       James Darrell McCauley,
       when he was at: Agricultural Engineering Purdue University

       27 Jan 1994: fixed RAND_MAX for Solaris 2.3
       13 Sep 2000: released under GPL
       Updated to 5.7 Radim Blazek 10 / 2004
       OGR support by Martin Landa (2009)
       Speed-up by Jan Vandrol and Jan Ruzicka (2013)

SOURCE CODE
       Available at: v.kcv source code (history)

       Accessed: unknown

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       © 2003-2022 GRASS Development Team, GRASS GIS 7.8.7 Reference Manual

GRASS 7.8.7                                                      v.kcv(1grass)

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