sits_smooth: Smooth the time series using Whittaker smoother (based on PTW...
In luizassis/sits: Satellite Image Time Series Analysis

Description Usage Arguments Details Value

sits_smooth returns a database with raw smoothed sits time series

1	sits_smooth(table_in, lambda = 0.5)

`table_in`	a string - the name of the database with original time series (must exist)
`lambda`	double - the smoothing factor to be applied

The input and the output are two databases. The input database must exist.

The algorithm searches for an optimal polynomial describing the warping. It is possible to align one sample to a reference, several samples to the same reference, or several samples to several references.

The degree of smoothing depends on smoothing factor lambda (usually from 0.5 to 10.0) Use lambda = 0.5 for very slight smoothing and lambda = 5.0 for strong smoothing

a tibble with smoothed sits time series

luizassis/sits documentation built on May 30, 2019, 7:15 p.m.