## NAME

t.rast3d.univar.py - Calculates univariate statistics from the non-null cells for each registered 3D raster map of a space time 3D raster dataset.

## KEYWORDS

temporal, statistics, raster3d, voxel, time, parallel

## SYNOPSIS

t.rast3d.univar.py
t.rast3d.univar.py --help
t.rast3d.univar.py [-es] input=name [zones=name] [nprocs=integer] [output=name] [where=sql_query] [separator=character] [--overwrite] [--help] [--verbose] [--quiet] [--ui]

### Flags:

-e
  Calculate extended statistics
-s
  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 raster3d dataset
zones=name
  Raster map with zones to compute statistics for
  Raster map with zones to compute statistics for (needs to be CELL)
nprocs=integer
  Number of threads for parallel computing
  Default: 1
output=name
  Name for output file
where=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'
separator=character
  Field separator character between the output columns
  Special characters: pipe, comma, space, tab, newline
  Default: pipe

## DESCRIPTION

t.rast3d.univar provides the same functionality as t.rast.univar, the only difference is the 3D raster map layer metadata. Please refer to the manual page of t.rast.univar for documentation and examples.

## SEE ALSO

t.rast.univar, t.create, t.info

## AUTHOR

Sören Gebbert, Thünen Institute of Climate-Smart Agriculture Stefan Blumentrath, (Support for zones)

## SOURCE CODE

Available at: t.rast3d.univar source code (history)

Accessed: Wednesday Dec 13 01:58:42 2023

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