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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)

• First release

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.