Provided by: grass-doc_8.3.0-1_all
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, parallel
SYNOPSIS
t.rast.univar t.rast.univar --help t.rast.univar [-eru] input=name [zones=name] [nprocs=integer] [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 -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 raster dataset zones=name Raster map used for zoning, must be of type 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.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 cells. Using the e flag it can calculate also extended statistics: first quartile, median value, third quartile and percentile 90. If a zones raster map is provided, statistics are computed for each zone (category) in that input raster map. The zones option does not support Spatio-Temporal-Raster-Datasets (STRDS) but only a single, static raster map.
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 t.create,
AUTHOR
Sören Gebbert, Thünen Institute of Climate-Smart Agriculture Stefan Blumentrath, (Support for zones)
SOURCE CODE
Available at: t.rast.univar source code (history) Accessed: Tuesday Jun 27 11:14:36 2023 Main index | Temporal index | Topics index | Keywords index | Graphical index | Full index © 2003-2023 GRASS Development Team, GRASS GIS 8.3.0 Reference Manual