st_extract | R Documentation |
Extract cell values at point locations
st_extract(x, ...)
## S3 method for class 'stars'
st_extract(
x,
at,
...,
bilinear = FALSE,
time_column = attr(at, "time_column") %||% attr(at, "time_col"),
interpolate_time = bilinear,
FUN = mean
)
x |
object of class |
... |
passed on to aggregate.stars when geometries are not exclusively POINT geometries |
at |
object of class |
bilinear |
logical; use bilinear interpolation rather than nearest neighbour? |
time_column |
character or integer; name or index of a column with time or date values that will be matched to values of the first temporal dimension (matching classes |
interpolate_time |
logical; should time be interpolated? if FALSE, time instances are matched using the coinciding or the last preceding time in the data cube. |
FUN |
function used to aggregate pixel values when geometries of |
points outside the raster are returned as NA
values. For
large sets of points for which extraction is needed, passing a matrix as
to at
may be much faster than passing an sf
or sfc
object.
if at
is of class matrix
, a matrix with extracted values is returned;
otherwise: if x
has more dimensions than only x and y (raster), an
object of class stars
with POINT geometries replacing x and y raster
dimensions, if this is not the case, an object of sf
with extracted values.
tif = system.file("tif/L7_ETMs.tif", package = "stars")
r = read_stars(tif)
pnt = st_sample(st_as_sfc(st_bbox(r)), 10)
st_extract(r, pnt)
st_extract(r, pnt) %>% st_as_sf()
st_extract(r[,,,1], pnt)
st_extract(r, st_coordinates(pnt)) # "at" is a matrix: return a matrix
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