gdalcubes (version 0.2.5)

reduce_space: Reduce multidimensional data over space

Description

This generic function applies a reducer function over a data cube, an R array, or other classes if implemented.

Usage

reduce_space(x, ...)

Arguments

x

object to be reduced

...

further arguments passed to specific implementations

Value

return value and type depend on the class of x

See Also

reduce_space.cube

reduce_space.array

Examples

# NOT RUN {
# 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="2018-12"),
              srs="EPSG:32618", nx = 497, ny=526, dt="P1M")
reduce_space(raster_cube(L8.col, v) , "median(B02)")  


d <- c(4,16,32,32)
x <- array(rnorm(prod(d)), d)
y <- reduce_space(x, function(v) {
  apply(v, 1, mean)
})
 
# }

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