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
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
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
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'
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'
r.kappa
Luca Delucchi,
Fondazione Edmund Mach
SOURCE CODE
Available at:
t.rast.kappa source code
(history)
Latest change: Thursday Feb 03 09:32:35 2022 in commit: f17c792f5de56c64ecfbe63ec315307872cf9d5c
Main index |
Temporal index |
Topics index |
Keywords index |
Graphical index |
Full index
© 2003-2024
GRASS Development Team,
GRASS GIS 8.4.1dev Reference Manual