R: Earth Observation Data Cubes from Satellite Image Collections

# Earth Observation Data Cubes from Satellite Image Collections

## Documentation for package ‘gdalcubes’ version 0.7.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

$.cube | Subsetting data cubes
.copy_cube | Create a data cube proxy object copy
add_collection_format | Download and install an image collection format from a URL
add_images | Add images to an existing image collection
aggregate_space | Spatial aggregation of data cubes
aggregate_time | Aggregate data cube time series to lower temporal resolution
animate | Animate a data cube as an image time series
apply_pixel | Apply a function over (multi-band) pixels
apply_pixel.array | Apply a function over pixels in a four-dimensional (band, time, y, x) array
apply_pixel.cube | Apply arithmetic expressions over all pixels of a data cube
apply_time | Apply a function over (multi-band) pixel time series
apply_time.array | Apply a function over pixel time series in a four-dimensional (band, time, y, x) array
apply_time.cube | Apply a user-defined R function over (multi-band) pixel time series
as.data.frame.cube | Convert a data cube to a data.frame
as_array | Convert a data cube to an in-memory R array
as_json | Query data cube properties
bands | Query data cube properties
chunk_apply | Apply an R function on chunks of a data cube
collection_formats | List predefined image collection formats
create_image_collection | Create an image collection from a set of GDAL datasets or files
crop | Crop data cube extent by space and/or time
cube_view | Create or update a spatiotemporal data cube view
dim.cube | Query data cube properties
dimensions | Query data cube properties
dimension_bounds | Query coordinate bounds for all dimensions of a data cube
dimension_values | Query coordinate values for all dimensions of a data cube
extent | Derive the spatiotemporal extent of an image collection
extract_geom | Extract values from a data cube by spatial or spatiotemporal features
fill_time | Fill NA data cube pixels by simple time series interpolation
filter_geom | Filter data cube pixels by a polygon
filter_pixel | Filter data cube pixels by a user-defined predicate on band values
gdalcubes | gdalcubes: Earth Observation Data Cubes from Satellite Image Collections
gdalcubes_gdalformats | Get available GDAL drivers
gdalcubes_gdalversion | Get the GDAL version used by gdalcubes
gdalcubes_gdal_has_geos | Check if GDAL was built with GEOS
gdalcubes_options | Set or read global options of the gdalcubes package
gdalcubes_selection | Subsetting data cubes
gdalcubes_set_gdal_config | Set GDAL config options
image_collection | Load an existing image collection from a file
image_mask | Create a mask for images in a raster data cube
join_bands | Join bands of two identically shaped data cubes
json_cube | Read a data cube from a json description file
memsize | Query data cube properties
names.cube | Query data cube properties
nbands | Query data cube properties
ncdf_cube | Read a data cube from an existing netCDF file
nt | Query data cube properties
nx | Query data cube properties
ny | Query data cube properties
pack_minmax | Helper function to define packed data exports by min / max values
plot.cube | Plot a gdalcubes data cube
predict.cube | Model prediction
print.cube | Print data cube information
print.cube_view | Print data cube view information
print.image_collection | Print image collection information
proj4 | Query data cube properties
raster_cube | Create a data cube from an image collection
read_chunk_as_array | Read chunk data of a data cube from stdin or a file
reduce_space | Reduce multidimensional data over space
reduce_space.array | Apply a function over space and bands in a four-dimensional (band, time, y, x) array and reduce spatial dimensions
reduce_space.cube | Reduce a data cube over spatial (x,y or lat,lon) dimensions
reduce_time | Reduce multidimensional data over time
reduce_time.array | Apply a function over time and bands in a four-dimensional (band, time, y, x) array and reduce time dimension
reduce_time.cube | Reduce a data cube over the time dimension
rename_bands | Rename bands of a data cube
select_bands | Select bands of a data cube
select_time | Select time slices of a data cube
size | Query data cube properties
slice_space | Extract a single time series (spatial slice) from a data cube
slice_time | Extract a single time slice from a data cube
srs | Query data cube properties
stack_cube | Create a data cube from a set of images with the same spatial extent and spatial reference system
stac_image_collection | Create an image collection from a STAC feature collection
st_as_stars.cube | Coerce gdalcubes object into a stars object
window_space | Apply a moving window (focal) operation or a convolution kernel over spatial dimensions of a data cube.
window_time | Apply a moving window operation over the time dimension of a data cube
write_chunk_from_array | Write chunk data of a cube to stdout or a file
write_ncdf | Export a data cube as netCDF file(s)
write_tif | Export a data cube as a collection of GeoTIFF files
[.cube | Subsetting data cubes