t.vect.univar(1)

📦
version 8.4.2 · 8 versions
, in fedora 44

✨ t.vect.univar ✨

okay bestie, so this is a page from the GRASS GIS User's Manual and the star of the show is t.vect.univar — she calculates univariate statistics of attributes for each registered vector map of a space time vector dataset 💅 no cap, that's literally her whole job.

🌸 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. that's it, that's the tea 🍓

🔥 EXAMPLE 🔥

So this example is based on the t.vect.observe.strds example — meaning you gotta create the precip_stations space time vector dataset first, and then run this 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

look at all those stats bestie, she ATE and left no crumbs 😭👑

👀 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: Saturday Jan 17 05:41:54 2026

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

and that's the whole page, bestie 🫶 so this was GRASS GIS 8.4.2 Reference Manual energy, straight from the GRASS 8.4.2 era, with the whole thing © 2003-2025 GRASS Development Team 💖 tysm for reading, go calc some stats, periodt ✨🌷

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