| sits_interp {sits} | R Documentation |
Computes the linearly interpolated bands using the R base function approx.
sits_interp(data = NULL, fun = stats::approx, n = base::length, ...)
data |
A tibble with time series data and metadata. |
fun |
Interpolation function. |
n |
Number of time series elements to be created between start date and end date. When a class function is passed to 'n', it is evaluated with each band time series as an argument, e.g. n(band) (default: 'length' function). |
... |
Additional parameters to be used by the fun function. |
A tibble with same samples and the new bands.
Rolf Simoes, rolf.simoes@inpe.br
# Retrieve a time series with values of NDVI point_ndvi <- sits_select(point_mt_6bands, bands = "NDVI") # find out how many time instances are there n_times <- nrow(sits_time_series(point_ndvi)) # interpolate three times more points point_int.tb <- sits_interp(point_ndvi, fun = stats::spline, n = 3 * n_times) # plot the result plot(point_int.tb)