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]   column=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=name [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 access this is the layer name.
           Default: 1

       column=name [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

       Sören Gebbert, Thünen Institute of Climate-Smart Agriculture

SOURCE CODE

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

       Accessed: Monday Apr 01 03:09:33 2024

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

       © 2003-2024 GRASS Development Team, GRASS GIS 8.3.2 Reference Manual

GRASS 8.3.2                                                                                t.vect.univar(1grass)