R: Interpolate values in time series

sits_interp {sits} | R Documentation

## Interpolate values in time series

### Description

Computes the interpolated bands using a user-defined function (by default the R base function approx)

### Usage

    sits_interp(
      data,
      fun = stats::approx,
      n = 2 * length(sits_timeline(data)),
      ...
    )

### Arguments

`data` | A tibble with time series data and metadata.
`fun` | Interpolation function (by default, stats::approx())
`n` | Number of time series elements to be created between start date and end date.
`...` | Additional parameters to be used by the fun function.

### Value

A tibble with interpolated samples.

### Author(s)

Rolf Simoes, rolf.simoes@inpe.br

### Examples

    # 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 <- length(sits_timeline(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)

[Package sits version 0.15.1 Index]