.sits_tibble_prediction

data.tb

A tibble with the information on classification.

class_info.tb

The result of the classification (one class per column and one row per interval).

pred.mtx

The time interval between two classifications.

interval

Create a tibble to store the results of predictions.

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_tibble_prediction function

Create an empty tibble to store the results of predictions — .sits_tibble_prediction

Create an empty tibble to store the results of predictions

.sits_tibble_prediction: Create an empty tibble to store the results of predictions

Description

Usage

Arguments

Value