R: Apply a moving window operation over time

window_time {gdalcubes} | R Documentation

## Apply a moving window operation over time

### Description

This generic function applies a reducer function over a moving window over the time dimension of a data cube, an R array, or other classes if implemented.

### Usage

    window_time(x, ...)

### Arguments

`x` | object to be reduced
`...` | further arguments passed to specific implementations

### Value

value and type depend on the class of x

### See Also

`window_time.cube`

### Examples

    # create image collection from example Landsat data only
    # if not already done in other examples
    if (!file.exists(file.path(tempdir(), "L8.db"))) {
      L8_files <- list.files(system.file("L8NY18", package = "gdalcubes"),
                             ".TIF", recursive = TRUE, full.names = TRUE)
      create_image_collection(L8_files, "L8_L1TP", file.path(tempdir(), "L8.db"))
    }

    L8.col = image_collection(file.path(tempdir(), "L8.db"))
    v = cube_view(extent=list(left=388941.2, right=766552.4,
                              bottom=4345299, top=4744931, t0="2018-01", t1="2018-07"),
                              srs="EPSG:32618", nx = 400, dt="P1M")
    L8.cube = raster_cube(L8.col, v)
    L8.nir = select_bands(L8.cube, c("B05"))
    window_time(L8.nir, window = c(2,2), "min(B05)")
    window_time(L8.nir, kernel=c(-1,1), window=c(1,0))

    plot(window_time(L8.nir, kernel=c(-1,1), window=c(1,0)), key.pos=1)

[Package gdalcubes version 0.3.1 Index]