t.rast.climatologies - GRASS GIS manual

Note: This document is for an older version of GRASS GIS that has been discontinued. 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

DESCRIPTION
EXAMPLE
- Daily climatologies
- Monthly climatologies
SEE ALSO
AUTHOR

DESCRIPTION

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.

EXAMPLE

Daily climatologies

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

Monthly climatologies

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

AUTHOR

Luca Delucchi, Fondazione Edmund Mach

SOURCE CODE

Available at: t.rast.climatologies source code (history)

Latest change: Tuesday Jun 06 08:01:39 2023 in commit: 9a7716657dc3b0951b56a2015f4bfd66438907eb