Description Usage Arguments Value Author(s)
Returns a SITS table with distances to be used for training in ML methods This is a front-end to the sits_TWDTW_matches whose outout is trimmed down to contain just distances
1 2 3 |
data.tb |
a table in SITS format with a time series to be classified using TWTDW |
patterns.tb |
a set of known temporal signatures for the chosen classes |
bands |
string - the bands to be used for classification |
dist.method |
A character. Method to derive the local cost matrix. |
alpha |
(double) - the steepness of the logistic function used for temporal weighting |
beta |
(integer) - the midpoint (in days) of the logistic function |
theta |
(double) - the relative weight of the time distance compared to the dtw distance |
span |
minimum number of days between two matches of the same pattern in the time series (approximate) |
keep |
keep internal values for plotting matches |
multicores |
number of threads to process the validation (Linux only). Each process will run a whole partition validation. |
matches a SITS table with the information on matches for the data
Rolf Simoes, rolf.simores@inpe.br
Gilberto Camara, gilberto.camara@inpe.br
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