sits_prune

<p>Either a sits tibble or a raster metadata.</p>

data.tb

<p>This function tests if all time series in a sits tibble
have the same number of samples, and returns a time series whose indices
match the majority of the samples.</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_prune function

Checks that the timeline of all time series of a data set are equal — sits_prune

Checks that the timeline of all time series of a data set are equal

sits_prune: Checks that the timeline of all time series of a data set are equal

Description

Usage

Arguments

Value