NAME

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

KEYWORDS

       temporal, statistics, raster, time

SYNOPSIS

       t.rast.univar
       t.rast.univar --help
       t.rast.univar [-ers] input=name  [output=name]   [where=sql_query]   [separator=character]
       [--overwrite]  [--help]  [--verbose]  [--quiet]  [--ui]

   Flags:
       -e
           Calculate extended statistics

       -r
           Ignore  the  current  region  settings  and  use  the  raster  map  regions for univar
           statistical calculation

       -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 raster dataset

       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.rast.univar calculates univariate statistics from the non-null cells for each registered
       raster map of a space time raster dataset.

       By default it returns the name of the map, the start and  end  date  of  dataset  and  the
       following  values:  mean,  minimum  and  maximum  vale,  mean_of_abs,  standard deviation,
       variance,coeff_var, number of null cells, total number of cell.

       Using the e flag it can calculate also extended statistics: first quartile, median  value,
       third quartile and percentile 90.

EXAMPLE

       Obtain  the  univariate  statistics  for  the raster space time dataset "tempmean_monthly"
       (precision reduced to 2 decimals in this example):
       t.rast.univar -e tempmean_monthly
       id|start|end|mean|min|max|mean_of_abs|stddev|variance|coeff_var|sum|null_cells|cells|first_quartile|median|third_quartile|percentile_90
       2009_01_tempmean@climate_2009_2012|2009-01-01 00:00:00|2009-02-01 00:00:00|3.90|-3.38|7.43|3.95|1.79|3.20|45.91|1977967.31|503233|1010600|2.80|3.92|5.21|6.23
       2009_02_tempmean@climate_2009_2012|2009-02-01 00:00:00|2009-03-01 00:00:00|5.91|-1.82|8.01|5.92|1.63|2.65|27.53|2999555.60|503233|1010600|5.44|6.26|7.07|7.48
       ...
       2012_11_tempmean@climate_2009_2012|2012-11-01 00:00:00|2012-12-01 00:00:00|8.03|1.79|10.91|8.03|1.32|1.73|16.41|4072472.77|503233|1010600|7.49|8.13|8.96|9.48
       2012_12_tempmean@climate_2009_2012|2012-12-01 00:00:00|2013-01-01 00:00:00|8.71|1.76|11.98|8.71|1.72|2.95|19.74|4418403.77|503233|1010600|7.84|8.95|9.99|10.67

SEE ALSO

        t.create, t.info

AUTHOR

       Sören Gebbert, Thünen Institute of Climate-Smart Agriculture

       Last changed: $Date: 2014-12-29 09:56:42 +0100 (Mon, 29 Dec 2014) $

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