Function reference • stars

All functions
`L7_ETMs`	Landsat-7 bands for a selected region around Olinda, BR
`aggregate(<stars>)`	spatially or temporally aggregate stars object
`bcsd_obs`	Monthly Gridded Meteorological Observations
`c(<stars>)` `c(<stars_proxy>)`	combine multiple stars objects, or combine multiple attributes in a single stars object into a single array
`as`	Coerce stars object into a Raster raster or brick
`contour(<stars>)`	plot contours of a stars object
`cut(<array>)` `cut(<matrix>)` `cut(<stars>)`	cut methods for stars objects
`filter.stars()` `filter.stars_proxy()` `mutate.stars()` `mutate.stars_proxy()` `transmute.stars()` `transmute.stars_proxy()` `select.stars()` `select.stars_proxy()` `rename.stars()` `rename.stars_proxy()` `pull.stars()` `pull.stars_proxy()` `as.tbl_cube.stars()` `slice.stars()` `slice.stars_proxy()` `replace_na.stars()` `replace_na.stars_proxy()`	dplyr verbs for stars objects
`geom_stars()` `theme_stars()`	ggplot geom for stars objects
`%in%`(<stars>)	evaluate whether cube values are in a given set
`make_intervals()`	create an intervals object
`split(<stars>)` `merge(<stars>)`	merge or split stars object
`Ops(<stars>)` `Math(<stars>)` `Ops(<stars_proxy>)` `Math(<stars_proxy>)`	S3 Ops Group Generic Functions for stars objects
`plot(<stars>)` `image(<stars>)` `plot(<nc_proxy>)` `plot(<stars_proxy>)`	plot stars object, with subplots for each level of first non-spatial dimension
`predict(<stars>)` `predict(<stars_proxy>)`	Predict values, given a model object, for a stars or stars_proxy object
`read_ncdf()`	Read NetCDF into stars object
`read_stars()` `is_big()`	read raster/array dataset from file or connection
`st_redimension()`	redimension array, or collapse attributes into a new dimension
`st_apply(<stars>)`	st_apply apply a function to one or more array dimensions
`st_as_sfc(<stars>)` `st_as_sf(<stars>)` `st_as_sf(<stars_proxy>)`	Convert stars object into an sf object
`st_as_stars()`	convert objects into a stars object
`st_contour()`	Compute or plot contour lines or sets
`st_coordinates(<stars>)` `as.data.frame(<stars>)` `as_tibble.stars()`	retrieve coordinates for raster or vector cube cells
`st_crop(<stars_proxy>)` `st_crop(<stars>)`	crop a stars object
`st_dim_to_attr()`	create an array with dimension values
`st_dimensions()` `st_dimensions<-`() `st_set_dimensions()` `st_get_dimension_values()`	get dimensions from stars object
`st_downsample()`	downsample stars or stars_proxy object by skipping rows, columns and bands
`st_extract()`	Extract cell values at point locations
`st_intersects(<stars>)`	spatial intersect predicate for stars and sfc object
`st_join(<stars>)`	Spatially join a stars and an `sf` object
`st_mosaic()`	build mosaic (composite) of several spatially disjoint stars objects
`st_raster_type()`	get the raster type (if any) of a stars object
`st_rasterize()`	rasterize simple feature geometries
`st_rgb()`	reduce dimension to rgb (alpha) hex values
`st_set_bbox()`	set bounding box parameters of regular grid
`st_sfc2xy()`	replace POINT simple feature geometry list with an x y raster
`st_tile()`	Specify parameters to load raster in blocks
`st_transform(<stars>)` `st_transform_proj(<stars>)`	transform geometries in stars objects to a new coordinate reference system, without warping
`st_warp()`	Warp (resample) grids in stars objects to a new grid, possibly in an new coordinate reference system
`st_xy2sfc()`	replace x y raster dimensions with simple feature geometry list (points, or polygons = rasterize)
`stars_sentinel2`	Sentinel-2 sample tile
`[`(<stars>) `[<-`(<stars>) `st_flip()`	subset stars objects
`write_stars()` `detect.driver()`	write stars object to gdal dataset (typically: to file)

Reference

All functions