t.rast.kappa
Calculate kappa parameter in a space time raster dataset
t.rast.kappa [-klp] strds=name [output=name] [weight=string] [where=sql_query] [splittingday=string] [separator=character] [--overwrite] [--verbose] [--quiet] [--qq] [--ui]
Example:
t.rast.kappa strds=name
grass.script.run_command("t.rast.kappa", strds, output="-", weight=None, where=None, splittingday=None, separator="pipe", flags=None, overwrite=False, verbose=False, quiet=False, superquiet=False)
Example:
gs.run_command("t.rast.kappa", strds="name")
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
Allowed values: 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
-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
--qq
Very quiet module output
--ui
Force launching GUI dialog
strds : str, required
Name of the input space time raster dataset
Used as: input, strds, name
output : str, optional
Name for the output file or "-" in case stdout should be used
Used as: output, file, name
Default: -
weight : str, optional
Specifies the weight matrix for the calculation
Allowed values: linear, quadratic
where : str, optional
WHERE conditions of SQL statement without 'where' keyword used in the temporal GIS framework
Example: start_time > '2001-01-01 12:30:00'
Used as: sql_query
splittingday : str, optional
Specifies the day to split the space time raster dataset in two groups, isotime format
separator : str, optional
Field separator
Special characters: pipe, comma, space, tab, newline
Used as: input, separator, character
Default: pipe
flags : str, optional
Allowed values: k, l, p
k
Use r.kappa module instead SciKit-Learn Laboratory metrics.kappa
l
Use memory swap
p
Pixel by pixel analysis along different years
overwrite: bool, optional
Allow output files to overwrite existing files
Default: False
verbose: bool, optional
Verbose module output
Default: False
quiet: bool, optional
Quiet module output
Default: False
superquiet: bool, optional
Very quiet module output
Default: False
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'
SEE ALSO
AUTHOR
Luca Delucchi, Fondazione Edmund Mach
SOURCE CODE
Available at: t.rast.kappa source code
(history)
Latest change: Thursday Feb 20 13:02:26 2025 in commit 53de819