fill_missing_ndvi: Fill in historic ndvi data to the complete timeseries being...
In weecology/portalr: Create Useful Summaries of the Portal Data
fill_missing_ndvi R Documentation
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
weecology/portalr documentation built on Feb. 29, 2024, 3:34 a.m.
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| fill_missing_ndvi | R Documentation |
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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