sits_break

data.tb

<p>Timeline associated with the coverage.</p>

timeline

start_date

end_date

interval

<p>This function breaks a set of time series
into equal time intervals. This function is useful to produce
a set of time series with the same number of samples, which is
required for building a set of samples for classification.</p>

A set of tools for working with satellite image time series.
Supports data retrieval from a WTSS (web time series service) and other data sets.
Provides different visualisation methods for image time series.
Provides smoothing methods for noisy time series.
Enables different clustering methods, including dendrograms and SOM.
Matches noiseless patterns with noisy time series using the TWDTW method for shape recognition.
Provide machine learning methods for time series classification, including SVM, LDA, QDA, GLM, Lasso, Random Forests and Deep Learning.

Pedro Andrade

sits

Satellite Image Time Series Analysis

Rolf Simoes

Gilberto Camara

Victor Maus

Alexandre Carvalho

Lorena Santos

Gilberto Queiroz

Alber Sanchez

Luiz Assis

Adeline Marinho

sits_break function

Breaks a set of time series into equal intervals — sits_break

Breaks a set of time series into equal intervals

sits_break: Breaks a set of time series into equal intervals

Description

Usage

Arguments

Value

Examples