v.db.univar.1grass man page

v.db.univar — Calculates univariate statistics on selected table column for a GRASS vector map.


vector, statistics, attribute table


v.db.univar --help
v.db.univar [-eg] map=name  [layer=string]  column=name  [where=sql_query]   [percentile=float[,float,...]]   [--help]  [--verbose]  [--quiet]  [--ui]



Extended statistics (quartiles and 90th percentile)


Print stats in shell script style


Print usage summary


Verbose module output


Quiet module output


Force launching GUI dialog


map=name [required]

Name of vector map
Or data source for direct OGR access


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 on which to calculate statistics (must be numeric)


WHERE conditions of SQL statement without ’where’ keyword
Example: income < 1000 and inhab >= 10000


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


v.db.univar calculates basic univariate statistics for numeric attributes in a vector attribute table. It will calculate minimum, maximum, range, mean, standard deviation, variance, coefficient of variation, quartiles, median, and 90th percentile. It uses db.select to create list values for statistical calculations. NOTES A database connection must be defined for the selected vector layer.


In this example, random points are sampled from the elevation map (North Carolina sample dataset) and univariate statistics performed:

g.region raster=elevation -p
v.random output=samples n=100
v.db.addtable samples column="heights double precision"
v.what.rast samples raster=elevation colum=heights
v.db.select samples
v.db.univar samples colum=heights

See Also

db.univar, r.univar, v.univar, db.select, d.vect.thematic


Michael Barton, Arizona State University

and authors of r.univar.sh

Last changed: $Date: 2014-12-19 22:55:37 +0100 (Fri, 19 Dec 2014) $

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