.sits_function_factory

.sits_factory_function

Tibble with time series data and metadata.

data.tb

The function that performs some calculation on the input data.

This internal function implements the factory method pattern for the sits package
Its role is to create a generic interface to closures in R so that the functions
in the sits package can be called in two different ways:
1. They can be called directly, passing input data and parameters.
2. They can be called as second-order values (parameters of another function).
 In the second case, the call will pass no data values and only pass the parameters for execution
The factory pattern is used in many situations in the sits package, to allow different alternatives
for filtering, pattern creation, training, and cross-validation

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_function_factory function

Create a closure for calling functions with and without data — .sits_function_factory

Create a closure for calling functions with and without data

.sits_function_factory: Create a closure for calling functions with and without data

Description

Usage

Arguments