NAME

       v.univar   -  Calculates  univariate  statistics  for  attribute.  Variance  and  standard
       deviation is calculated only for points if specified.

KEYWORDS

       vector, statistics

SYNOPSIS

       v.univar
       v.univar help
       v.univar [-ged] map=name  [layer=integer]    [type=string[,string,...]]    [column=string]
       [where=sql_query]   [layer=integer]   [percentile=integer]   [--verbose]  [--quiet]

   Flags:
       -g
           Print the stats in shell script style

       -e
           Calculate extended statistics

       -d
           Calculate geometry distances instead of table data.

       --verbose
           Verbose module output

       --quiet
           Quiet module output

   Parameters:
       map=name
           Name of input vector map

       layer=integer
           Layer number
           A  single  vector  map  can  be  connected  to  multiple  database tables. This number
           determines which table to use.
           Default: 1

       type=string[,string,...]
           Feature type
           Options: point,line,boundary,centroid,area
           Default: point,line,area

       column=string
           Column name

       where=sql_query
           WHERE conditions of SQL statement without 'where' keyword
           Example: income = 10000

       layer=integer
           Layer number
           A single vector map  can  be  connected  to  multiple  database  tables.  This  number
           determines which table to use.
           Default: 1

       percentile=integer
           Percentile to calculate (requires extended statistics flag)
           Options: 0-100
           Default: 90

DESCRIPTION

       v.univar  calculates  univariate  statistics  of  vector  map features.  This includes the
       number of features counted, minimum and maximum values, and range.  Variance and  standard
       deviation is calculated only for points if type=point is defined.

       Extended statistics adds median, 1st and 3rd quartiles, and 90th percentile.

EXAMPLE

       g.region rast=elevation.10m -p
       v.random out=samples n=100
       v.db.addtable samples col="heights double precision"
       v.what.rast samples rast=elevation.10m col=heights
       v.db.select samples
       v.univar samples col=heights type=point

SEE ALSO

       v.neighbors

AUTHOR

       Radim Blazek, ITC-irst

       Last changed: $Date: 2011-11-08 01:42:51 -0800 (Tue, 08 Nov 2011) $

       Full index

       © 2003-2013 GRASS Development Team