Function reference

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,Raster-method coerce,stars_proxy,Raster-method coerce,stars,Terra-method coerce,stars_proxy,Terra-method

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

read_mdim() write_mdim()

Read or write data using GDAL's multidimensional array API

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

print(<stars>) as.data.frame(<dimensions>) print(<dimensions>)

print stars or dimensions object

read_ncdf()

Read NetCDF into stars object

read_stars()

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_cells()

return the cell index corresponding to the location of a set of points

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 objects

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_res()

obtain (spatial) resolution of a stars object

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_proxy>) `[`(<stars>) `[<-`(<stars>) st_flip()

subset stars objects

write_stars() detect.driver()

write stars object to gdal dataset (typically: to file)