fill_missing_ndvi: Fill in historic ndvi data to the complete timeseries being...

In portalr: Create Useful Summaries of the Portal Data

Fill in historic ndvi data to the complete timeseries being fit

Description

Fill in historic ndvi data to the complete timeseries being fit

Usage

fill_missing_ndvi(ndvi, level, last_time, moons = NULL)

Arguments

ndvi	ndvi data
level	specify "monthly" or "newmoon"
last_time	the last time step to have been completed
moons	moon data (required if level = "newmoons" and forecasts are needed)

Details

missing values during the time series are replaced using na.interp, missing values at the end of the time series are forecast using auto.arima with seasonality (using Fourier transform)

Value

a data.frame with time and ndvi values

portalr documentation built on Sept. 30, 2024, 9:20 a.m.