.sits_sample_distances

A data.table object with the distances associated to a time series.

distances_DT

Percentage of samples to pick from a given group of data.

frac

Takes a sits tibble with different labels and
 returns a new tibble. For a given field as a group criterion, this new table contains a given number or percentage
 of the total number of samples per group. Parameter n indicantes the number of random samples with reposition.
 Parameter frac indicates a fraction of random samples without reposition. If frac &gt; 1, no sampling is done.

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_sample_distances function

Sample a percentage of a time series distance matrix — .sits_sample_distances

Sample a percentage of a time series distance matrix

.sits_sample_distances: Sample a percentage of a time series distance matrix

Description

Usage

Arguments

Value