Note: This document is for an older version of GRASS GIS that will be discontinued soon. You should upgrade, and read the current manual page.
NAME
t.rast.climatologies - Calculates climatologies from a space time raster dataset of absolute temporal type
KEYWORDS
temporal,
raster,
aggregation,
series,
time
SYNOPSIS
t.rast.climatologies
t.rast.climatologies --help
t.rast.climatologies [-s] input=name [output=name] basename=string method=string[,string,...] [quantile=float[,float,...]] granularity=string [nprocs=integer] [--overwrite] [--help] [--verbose] [--quiet] [--ui]
Flags:
- -s
- Do not create a space time raster dataset as output
- --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 of the output space time raster dataset
- basename=string [required]
- Basename of the newly generated output maps
- Either a numerical suffix or the start time (s-flag) separated by an underscore will be attached to create a unique identifier
- method=string[,string,...] [required]
- Aggregate operation to be performed on the raster maps
- Options: average, count, median, mode, minimum, min_raster, maximum, max_raster, stddev, range, sum, variance, diversity, slope, offset, detcoeff, quart1, quart3, perc90, quantile, skewness, kurtosis
- Default: average
- quantile=float[,float,...]
- Quantile to calculate for method=quantile
- Options: 0.0-1.0
- granularity=string [required]
- Aggregate by day or month
- Options: day, month
- Default: day
- nprocs=integer
- Number of processes to run in parallel
- Default: 1
t.rast.climatologies is a module to calculate climatologies, i.e., long term stats, for single days or months
in a time series. If the
s flag is used, the module outputs a new space time raster dataset
of relative temporal type with the aggreated maps.
Starting from a space time raster dataset of daily granularity (or granularity lower than one day), the module will create a new space time raster dataset of relative temporal type containing the long term average for each day along years.
t.rast.climatologies strds=myinput output=dailyoutput
Starting from a space time raster dataset of monthly granularity (or lower than one month), the module will create two new space time raster datasets containing the long term minimum and maximum for each month along years.
t.rast.climatologies strds=myinput granularity=month method=min,max output=monthlyoutputmin,monthlyoutputmax
r.series
t.rast.series
Luca Delucchi,
Fondazione Edmund MachSOURCE CODE
Available at:
t.rast.climatologies source code
(history)
Latest change: Tuesday Jun 06 08:01:39 2023 in commit: 9a7716657dc3b0951b56a2015f4bfd66438907eb
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GRASS Development Team,
GRASS GIS 7.8.9dev Reference Manual