.sits_function_factory

.sits_factory_function

Tibble with time series data and metadata.

data

The function that performs calculation on the input data.

This internal function implements the factory method pattern.
Its creates a generic interface to closures in R so that the functions
in the sits package can be called in two different ways:
1. Called directly, passing input data and parameters.
2. 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

internal

A set of tools for working with satellite image time series, both as individual data or as part of data cubes.
Builds data cubes from collections in AWS, Brazil Data Cube, and Digital Earth Africa.
Provides different visualisation methods for image time series.
Provides smoothing methods for noisy time series.
Includes functions for smoothing based on Bayesian inference.
Enables different clustering methods, including dendrograms and self-organized maps (SOM).
Matches noiseless patterns with noisy time series using the time-weighted dynamic time warping (TWDTW) method for shape recognition.
Provides machine learning methods for time series classification, including support vector machines (SVM), random forests and deep learning.
Minimum recommended requirements: 8 GB RAM and 1 CPU dual-core.

Gilberto Camara

sits

Satellite Image Time Series Analysis for Remote Sensing Data Cubes

Rolf Simoes

Felipe Souza

Lorena Santos

Alexandre Carvalho

Pedro Andrade

Karine Ferreira

Alber Sanchez

Gilberto Queiroz

.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