gdalcubes 0.7.1 (2025-03-19)
- fix CRAN build issues related to clang-20 and gcc_UBSAN
 
gdalcubes 0.7.0 (2024-03-06)
- add 
as.data.frame() to easily convert data cubes to
data frames 
- add 
predict.cube() to predict pixel values based on
models (lm, glm, caret, tidymodels, and similar) 
- add 
window_space() to apply (focal) moving window
kernels or aggregation functions 
extract() now combines extracted values with input
geometries and attributes (if merge = TRUE)
 
- add support for imagery with spatial reference from geolocation
arrays (including curvilinear grids)
 
stac_image_collection() now accepts STACItemCollection
objects directly and should be more robust 
- Windows build uses pkg-config if available
 
- Improved error reporting for inaccessible imagery
 
gdalcubes 0.6.4 (2023-04-14)
- add native quartile reducers in 
reduce_time() 
- fix r-devel UCRT win build on CRAN
 
- fix crashes on Windows UCRT due to unusable std::regex()
 
- fix parallel data cube processing when nonstandard external package
locations are used
 
stack_cube() now ignores files if not accessible /
invalid instead of stopping all computations 
- The codebase has been reorganized R package is now maintained under
https://github.com/appelmar/gdalcubes, whereas the C++ repo will be
archived.
 
gdalcubes 0.6.3 (2023-01-19)
- fix gcc-13 compiler errors on CRAN
 
- add datetime interval support in STAC collections
 
- add support of new windows toolchain using Makevars.ucrt
 
gdalcubes 0.6.2 (2022-10-09)
- fix clang-15 compiler warnings on CRAN
 
- new operation 
aggregate_space() to reduce spatial
resolution of data cubes 
- improved / faster implementation of 
plot() 
- handle WKT strings as spatial reference systems in STAC
responses
 
- handle special characters in variable / band names
 
gdalcubes 0.6.1 (2022-03-22)
- fix gcc-12 builds on CRAN
 
- fix automatic reprojection in 
extract_geom() 
- update GDAL on Windows
 
gdalcubes 0.6.0 (2022-03-07)
- major stability improvements:
- fix unexpected stack overflows due to to GDAL error handler from
sf calling Rf_warning() 
- if GDALOpen() fails to read an image, it will now be simply ignored
but not stop processing the current chunk
 
- improved handling and checks for empty chunks in data cube
operations
 
- parallel processing now uses worker processes instead of
threads
 
 
- new 
extract_geom() function to extract data cube values
from spatial or spatiotemporal features and to compute summary
statistics 
- remove functions 
query_points(),
query_timeseries(), and zonal_statistics() in
favor of extract_geom() 
- fix 
filter_geom() issues with larger polygons 
- fix 
filter_geom() error while checking if polygon is
within data cube 
- use WKT strings or authority codes in image collections instead of
proj4 strings
 
- chunk sizes can now be set as a global package option either as
constant sizes or as a function of data cube size
 
- default chunk sizes consider the number of parallel worker
processes
 
animate() now can produce mp4 and GIF animations 
animate() works for larger image sequences using the
av or gifski packages 
- remove dependency on 
RcppProgress 
gdalcubes 0.5.1 (2021-02-12)
- fix CRAN vignette issue on Mac due to data download failures
 
- fix 
image_mask() function for minimum and maximum
values 
gdalcubes 0.5.0 (2021-10-27)
- new operation 
aggregate_time() to reduce temporal
resolution of data cubes 
- new 
stack_cube() function to build data cubes from
aligned images without image collection creation 
- new operations 
slice_time() and
slice_space() to extract single time series or slices 
- new 
crop() function can be used to crop a data cube by
space and/or time 
- single bands of data cubes can be selected using the 
$
operator 
- fix datetime parser to support strings with fractional seconds
 
- fix CRAN issues due to obsolete autoconf warnings
 
- the
[] operator can now be used for flexible cropping,
slicing, and band selection on data cubes 
gdalcubes 0.4.1 (2021-07-29)
- fix build issues on MacOS
 
- fixes for Windows build including ucrt support
 
gdalcubes 0.4.0 (2021-07-08)
- new operator 
ncdf_cube() to read data cubes from
(intermediate) results 
- new operator 
rename_bands() to change band names 
- image collection creation from STAC API queries with
stac_image_collection() 
- progress bar can now be disabled with
gdalcubes_options() 
- removed 
gdalcubes_set_threads() in favor of
gdalcubes_options() 
- removed 
gdalcubes_debug_output() in favor of
gdalcubes_options() 
- removed 
gdalcubes_set_ncdf_compression() in favor of
gdalcubes_options() 
- removed 
gdalcubes_use_cache() in favor of
gdalcubes_options() 
- removed image collection operations 
translate_COG() and
translate_gtiff() 
- fix installation issues on MacOS and GCC11 warnings
 
gdalcubes 0.3.1 (2020-08-25)
- make GEOS dependency optional
 
- remove CURL dependency from configure
 
gdalcubes 0.3.0 (2020-08-05)
New Features
- Compute summary statistics of data cubes over polygons with
zonal_statistics() 
- Extracts time series at irregular spatial points with
query_timeseries() 
- Time dimension may ow be irregular / labeled after selecting slices
with the new 
select_time() function 
- Filter pixels of a data cube by a spatial polygon with
filter_geom() 
- Apply an R function on time series without reduction using
apply_time() 
- Batch format conversion of images in a collection with
translate_cog() and translate_gtiff() 
Minor improvements
- conversion to stars objects with 
st_as_stars() 
- add support for image collections without collection format in
create_image_collection() 
- optional global SRS definition in collection formats
 
- default chunk size is now (t,y,x) = (1,256,256)
 
- remove 
reduce() function 
- remove 
cube argument in cube_view
function 
- new collection format for daily 0.25° AVHRR Optimum Interpolation
Sea Surface Temperature
 
- new collection formats for ESA CCI soil moisture products
 
- new collection format for daily precipitation observations from GPM
/ IMERG
 
- new collection format for MODIS MOD09GA (aqua and terra)
 
- add 
na.color argument in plot.cube() 
Bug fixes
- fix CRS metadata in produced netCDF files
 
- fix multithreading locking issues with GDAL 3
 
gdalcubes 0.2.5 (2020-05-17)
- fixed compiler warnings on CRAN
 
- temporarily removed 
as_stars(), will be added again in
0.3 
gdalcubes 0.2.4 (2020-02-02)
- fixed axis order issues with GDAL3 and PROJ6
 
- fixed compiler warnings with GDAL3
 
gdalcubes 0.2.3 (2019-10-21)
- fixed clang compiler warnings
 
- fixed MODIS collection formats
 
- new collection formats MxD14A2 and MxD13A2
 
gdalcubes 0.2.2 (2019-10-15)
- support for GDAL subdatasets in collection format
 
- MODIS collection formats now use subdatasets automatically
 
- fixed configure.ac for R-devel
 
- add 
query_points() to query data cube values at
irregular spatiotemporal points 
gdalcubes 0.2.1 (2019-08-21)
- new collection format for PlanetScope data
 
- fixed R CMD check warnings on CRAN (caused by compiler warning
-Wdeprecated-declarations)
 
- fixed mean aggregation
 
gdalcubes 0.2.0 (2019-08-07)
New Features
- add 
animate() function to create data cube time series
animations 
- apply mask bands on pixel values during the construction of the data
cube, see 
?image_mask 
- add 
write_tif() to export data cubes as (possibly
cloud-optimized) GeoTIFF files (one per time slice) 
- export of data cubes with 
write_tif() and
write_ncdf() supports packing data values to smaller
integer types
 
- processing cubes is interruptible, though it can still take time to
let all threads finish their current chunk
 
- add 
as_array() function to convert a data cube to a
native in-memory R array 
- new operator 
fill_time() fills NA pixels of data cubes
based on time series interpolation 
- changed image collection database schema, existing collections must
be recreated
 
- new global configuration function 
gdalcubes_options()
as a replacement to gdalcubes_set_threads() etc. 
- new function 
add_images() adds images to an existing
image collection 
Minor improvements
- rename 
filter_predicate() ->
filter_pixel() 
- collection format Sentinel2_L2A now includes WVP, AOT, and SCL
bands
 
- consistent output for printing data cube views and data cubes
 
- new collection format for Sentinel-2 data on Theia (credits to
Xavier Laviron)
 
- new collection format for MODIS MxD13Q1 vegetation index data
 
- add 
write_json_descrargument to
write_ncdf() 
- new argument 
with_VRT in write_ncdf() to
write GDAL VRT datasets for data cube time slices 
- collection formats can now overwrite scale, offset, and unit for
bands
 
write_ncdf() can produce netCDF files without bounds
variables if desired 
write_ncdf() and write_tif() return
created files as character vectors. 
Bug fixes
- fix windows source compilation on CRAN
 
- bands of multiband files are now read in correct order
 
- fix package build with PROJ 6.1 (credits to Roger Bivand)
 
gdalcubes 0.1.0 (2019-05-15)