vignettes now use an external package, starsdata
, for larger dataset examples
support [<-.stars
e.g. to mask out values; support is.na.stars
to replace NA masks
support cut
methods and factor arrays (plot, subset); #56
add st_rasterize
, which uses GDALRasterize
to rasterize an sf object; #13
st_as_sf.stars
now uses GDAL(F)Polygonize
when give a regular or sheared grid grid cells are not points, and returns contour bands using GDALContourGenerateEx
(requiring GDAL 2.4.0) in case cells are points; #13
support curvilinear grids; see #54 and the data_model
vignette
add vignette about how stars_proxy
objects work
stars_proxy
objects defer processing of st_apply
jobs until after subsampling; #50
allow reading sections of a raster, raster at a lower resolution, selected bands; #48
allow reading vectors (arrays) with more than 2^31 elements; #48
fold all higher dimensions into the third dimension before coercing to Raster
; #40
read_stars
add merge
(merge attributes into array dimension) and split
(split dimension over attributes)
interface to sf, raster and spacetime
improve plotting
handle logical
arrays in plot
add st_apply
, analogous to apply
add cropping/masking when used as x[buf] with buf an sf
, sfc
or bbox
object; masking when x[buf, crop = FALSE]
add Ops (+,-,/ etc) and Math (sqrt, pow, sin etc) methods
add dimnames
and dimnames<-
methods for stars objects
downsample large grids to only plot pixels actually shown
can plot rectilinear grids (but will plot rgb images as regular grids)
rgb
argument to image
works
[
array-like subsetting works; first index is attribute selector
gdal_utils()
(now part of sf
)