.sits_plot_patterns

<p>One or more time series containing patterns (stored in a sits tibble).</p>

data.tb

<p>Plots the patterns to be used for classification
             this code is reused from the dtwSat package by Victor Maus.</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_plot_patterns function

Plot classification patterns — .sits_plot_patterns

Plot classification patterns

.sits_plot_patterns: Plot classification patterns

Description

Usage

Arguments