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
r.kappa
AUTHOR
Luca Delucchi, Fondazione Edmund Mach