as.data.frame()
to easily convert data cubes to data framespredict.cube()
to predict pixel values based on models (lm, glm, caret, tidymodels, and similar)window_space()
to apply (focal) moving window kernels or aggregation functionsextract()
now combines extracted values with input geometries and attributes (if merge = TRUE
) stac_image_collection()
now accepts STACItemCollection objects directly and should be more robustreduce_time()
stack_cube()
now ignores files if not accessible / invalid instead of stopping all computationsaggregate_space()
to reduce spatial resolution of data cubesplot()
extract_geom()
sf
calling Rf_warning()
extract_geom()
function to extract data cube values from spatial or spatiotemporal features and to compute summary statisticsquery_points()
, query_timeseries()
, and zonal_statistics()
in favor of extract_geom()
filter_geom()
issues with larger polygons filter_geom()
error while checking if polygon is within data cubeanimate()
now can produce mp4 and GIF animationsanimate()
works for larger image sequences using the av
or gifski
packagesRcppProgress
image_mask()
function for minimum and maximum values aggregate_time()
to reduce temporal resolution of data cubesstack_cube()
function to build data cubes from aligned images without image collection creationslice_time()
and slice_space()
to extract single time series or slicescrop()
function can be used to crop a data cube by space and/or time$
operator[]
operator can now be used for flexible cropping, slicing, and band selection on data cubesncdf_cube()
to read data cubes from (intermediate) resultsrename_bands()
to change band namesstac_image_collection()
gdalcubes_options()
gdalcubes_set_threads()
in favor of gdalcubes_options()
gdalcubes_debug_output()
in favor of gdalcubes_options()
gdalcubes_set_ncdf_compression()
in favor of gdalcubes_options()
gdalcubes_use_cache()
in favor of gdalcubes_options()
translate_COG()
and translate_gtiff()
zonal_statistics()
query_timeseries()
select_time()
functionfilter_geom()
apply_time()
translate_cog()
and translate_gtiff()
st_as_stars()
create_image_collection()
reduce()
functioncube
argument in cube_view
functionna.color
argument in plot.cube()
as_stars()
, will be added again in 0.3query_points()
to query data cube values at irregular spatiotemporal pointsanimate()
function to create data cube time series animations?image_mask
write_tif()
to export data cubes as (possibly cloud-optimized) GeoTIFF files (one per time slice)write_tif()
and write_ncdf()
supports packing data values to smaller integer types as_array()
function to convert a data cube to a native in-memory R arrayfill_time()
fills NA pixels of data cubes based on time series interpolationgdalcubes_options()
as a replacement to gdalcubes_set_threads()
etc.add_images()
adds images to an existing image collectionfilter_predicate()
-> filter_pixel()
write_json_descr
argument to write_ncdf()
with_VRT
in write_ncdf()
to write GDAL VRT datasets for data cube time sliceswrite_ncdf()
can produce netCDF files without bounds variables if desiredwrite_ncdf()
and write_tif()
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