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_descr
argument 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)