datetime.cpp to fix date::parse() template
matchingadd_collection_format()stac_image_collection()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 polygonsfilter_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 packagesRcppProgressimage_mask() function for minimum and maximum
valuesaggregate_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_maskwrite_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 typesas_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_descrargument 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() return
created files as character vectors.
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