sits_sgolay: Smooth the time series using Savitsky-Golay filter (based on...

Description Usage Arguments Value

Description

The algorithm searches for an optimal polynomial describing the warping. 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

Usage

1
sits_sgolay(data.tb, order = 3, scale = 1, bands_suffix = "sg")

Arguments

data.tb

The SITS tibble containing the original time series

order

filter order

scale

time scaling

bands_suffix

the suffix to be appended to the smoothed filters

Value

output.tb a tibble with smoothed sits time series


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