t.rast.kappa - GRASS GIS manual

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.

Note: This addon document is for an older version of GRASS GIS that will be discontinued soon. You should upgrade your GRASS GIS installation, and read the current addon manual page.

NAME

t.rast.kappa - Calculate kappa parameter in a space time raster dataset

KEYWORDS

temporal, raster, statistics

SYNOPSIS

t.rast.kappa

t.rast.kappa --help

t.rast.kappa [-klp] strds=name [output=name] [weight=string] [where=sql_query] [splittingday=string] [separator=character] [--overwrite] [--help] [--verbose] [--quiet] [--ui]

Flags:

-k: Use r.kappa module instead SciKit-Learn Laboratory metrics.kappa
-l: Use memory swap
-p: Pixel by pixel analysis along different years
--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:

strds=name [required]: Name of the input space time raster dataset
output=name: Name for the output file or "-" in case stdout should be used; Default: -
weight=string: Specifies the weight matrix for the calculation; Options: linear, quadratic
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'
splittingday=string: Specifies the day to split the space time raster dataset in two groups, isotime format
separator=character: Field separator; Special characters: pipe, comma, space, tab, newline; Default: pipe

DESCRIPTION
EXAMPLE
SEE ALSO
AUTHOR

DESCRIPTION

The t.rast.kappa calculate kappa parameter in a space time raster dataset. It can calculate kappa values using two different algorithm, the one provided by r.kappa and the one provided by SciKit-Learn metrics library

EXAMPLE

Using r.kappa as backend

In this example t.rast.kappa is using r.kappa as backend, it return the results inside the /tmpem> directory into files with mystrds as prefix. weight option is not considered using r.kappa as backend.

        t.rast.kappa -k strds=mystrds output=/tmp/mystrds

Using SciKit-Learn as backend, text as output

In this example t.rast.kappa is using SciKit-Learn metrics library as backend, without output option, the module print the results to standard output

        t.rast.kappa strds=mystrds where="start_time >= '1999-12-01' weight='linear'

Using SciKit-Learn as backend, map as output

In this example t.rast.kappa is using SciKit-Learn metrics library as backend, the output is a map with the kappa values calculated for each pixel. The splittingday option is required to split the space time raster dataset in two groups and analyze them; the two groups must have the same number of maps, otherwise and error will be reported.

        t.rast.kappa -p strds=mystrds output=mykappa splittingday='2005-01-01'

AUTHOR

Luca Delucchi, Fondazione Edmund Mach

SOURCE CODE

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

Latest change: Monday Jun 28 07:54:09 2021 in commit: 1cfc0af029a35a5d6c7dae5ca7204d0eb85dbc55