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46 lines
1.8 KiB
R
46 lines
1.8 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/slice.R
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\name{slice_space}
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\alias{slice_space}
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\title{Extract a single time series (spatial slice) from a data cube}
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\usage{
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slice_space(cube, loc = NULL, i = NULL)
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}
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\arguments{
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\item{cube}{source data cube}
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\item{loc}{numeric length-two vector; spatial coordinates (x, y) of the time series, expressed in the coordinate reference system of the source data cube}
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\item{i}{integer length-2 vector; indexes (x,y) of the time slice (zero-based)}
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}
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\description{
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Create a proxy data cube, which extracts a time series from a data cube defined by spatial coordinates or integer x and y indexes.
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}
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\details{
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Either \code{loc} or \code{i} must be non-NULL. If both arguments are provided, integer indexes \code{i} are ignored.
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}
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\note{
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This function returns a proxy object, i.e., it will not start any computations besides deriving the shape of the result.
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}
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\examples{
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# create image collection from example Landsat data only
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# if not already done in other examples
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if (!file.exists(file.path(tempdir(), "L8.db"))) {
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L8_files <- list.files(system.file("L8NY18", package = "gdalcubes"),
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".TIF", recursive = TRUE, full.names = TRUE)
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create_image_collection(L8_files, "L8_L1TP", file.path(tempdir(), "L8.db"), quiet = TRUE)
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}
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L8.col = image_collection(file.path(tempdir(), "L8.db"))
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v = cube_view(extent=list(left=388941.2, right=766552.4,
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bottom=4345299, top=4744931, t0="2018-01", t1="2018-12"),
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srs="EPSG:32618", nx = 497, ny=526, dt="P3M", aggregation = "median")
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L8.cube = raster_cube(L8.col, v, mask=image_mask("BQA", bits=4, values=16))
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L8.rgb = select_bands(L8.cube, c("B02", "B03", "B04"))
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L8.ts = slice_space(L8.rgb, loc = c(5e05, 4400000))
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L8.ts
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\donttest{
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plot(L8.ts, join.timeseries = TRUE)
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}
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}
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