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t.vect.univar(1)	    GRASS GIS User's Manual	      t.vect.univar(1)

NAME
       t.vect.univar   -  Calculates  univariate  statistics of	attributes for
       each registered vector map of a space time vector dataset

KEYWORDS
       temporal, statistics, vector, time

SYNOPSIS
       t.vect.univar
       t.vect.univar --help
       t.vect.univar [-eu] input=name	[output=name]	 [layer=string]	  col-
       umn=name	    [twhere=sql_query]	   [where=sql_query]	 [type=string]
       [separator=character]   [--overwrite]  [--help]	[--verbose]  [--quiet]
       [--ui]

   Flags:
       -e
	   Calculate extended statistics

       -u
	   Suppress printing of	column names

       --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=nameA [required]
	   Name	of the input space time	vector dataset

       output=name
	   Name	for output file

       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

       column=nameA [required]
	   Name	of attribute column

       twhere=sql_query
	   WHERE  conditions  of SQL statement without 'where' keyword used in
	   the temporal	GIS framework
	   Example: start_time > '2001-01-01 12:30:00'

       where=sql_query
	   WHERE conditions of SQL statement without 'where' keyword
	   Example: income < 1000 and population >= 10000

       type=string
	   Input feature type
	   Options: point, line, boundary, centroid, area
	   Default: point

       separator=character
	   Field separator character between the output	columns
	   Special characters: pipe, comma, space, tab,	newline
	   Default: pipe

DESCRIPTION
       The module t.vect.univar	computes univariate statistics of a space time
       vector dataset based on a single	attribute row.

EXAMPLE
       The example is based on the t.vect.observe.strds	example; so create the
       precip_stations space time vector dataset and after run	the  following
       command:
       t.vect.univar input=precip_stations col=month
       id|start|end|n|nmissing|nnull|min|max|range|mean|mean_abs|population_stddev|population_variance|population_coeff_variation|sample_stddev|sample_variance|kurtosis|skewness
       precip_stations_monthly@climate_2009_2012|2009-01-01 00:00:00|2009-02-01	00:00:00|132|0|4|-2.31832|7.27494|9.59326|3.44624|3.5316|1.79322|3.21564|0.520341|1.80005|3.24019|0.484515|-0.338519
       precip_stations_monthly@climate_2009_2012|2009-02-01 00:00:00|2009-03-01	00:00:00|132|0|4|-0.654152|7.90613|8.56028|5.47853|5.48844|1.73697|3.01708|0.317051|1.74359|3.04011|0.875252|-1.0632
       ....
       precip_stations_monthly@climate_2009_2012|2012-10-01 00:00:00|2012-11-01	00:00:00|132|0|4|9.67596|18.4654|8.78945|14.945|14.945|1.90659|3.6351|0.127574|1.91386|3.66285|-0.0848967|-0.700833
       precip_stations_monthly@climate_2009_2012|2012-11-01 00:00:00|2012-12-01	00:00:00|132|0|4|3.56755|10.6211|7.05357|7.72153|7.72153|1.33684|1.78715|0.173132|1.34194|1.8008|0.90434|-0.863935
       precip_stations_monthly@climate_2009_2012|2012-12-01 00:00:00|2013-01-01	00:00:00|132|0|4|3.04325|11.6368|8.5935|8.20147|8.20147|1.78122|3.17275|0.217183|1.78801|3.19697|-0.177991|-0.501295

SEE ALSO
	t.create, t.info

AUTHOR
       SA<paragraph>ren	Gebbert, ThA1/4nen Institute of	Climate-Smart Agricul-
       ture

SOURCE CODE
       Available at: t.vect.univar source code (history)

       Main index | Temporal index | Topics index | Keywords index | Graphical
       index | Full index

       A(C) 2003-2020 GRASS Development	Team, GRASS GIS	7.8.4 Reference	Manual

GRASS 7.8.4						      t.vect.univar(1)

NAME | KEYWORDS | SYNOPSIS | DESCRIPTION | EXAMPLE | SEE ALSO | AUTHOR | SOURCE CODE

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