addHarmonicFits: Fit harmonics recursivelys to satellite time series

In LobellLab/SCYMr:

Description

Runs a 2-term harmonic regression for the specified number of iterations. Written by Calum You with modification by Jake Campolo. Output includes harmonic values at original data observations, but not coefficients.

Usage

addHarmonicFits(ts, iterations, origin, dependent, ..., dt_col = DATE,
  omega = 1)

Arguments

ts	Data.frame containing columns date, dependent variable, and any grouping variables.
iterations	Number of recursive harmonics to fit
origin	reference time; format should match df date column
dependent	column name for dependent variable
...	additional grouping variables; unquoted
dt_col	unquoted column name for date column. Default is DATE
omega	default is 1

Examples

# apply harmonics by pointID
library(dplyr)
library(lubridate)
library(stringr)
library(broom)

df_fitted <- df_satelliteSeries %>%
  addHarmonicFits(
    iterations = 4,
    origin = ymd("2018-01-01"),
    dependent = "GCVI",
    pointID
 )

LobellLab/SCYMr documentation built on Oct. 20, 2020, 1:22 a.m.