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gdalcubes
View on CRAN: Click
here
Download and install gdalcubes package within the R console
Install from CRAN:
install.packages("gdalcubes")
Install from Github:
library("remotes")
install_github("cran/gdalcubes")
Install by package version:
library("remotes")
install_version("gdalcubes", "0.7.0")
Attach the package and use:
library("gdalcubes")
Maintained by
Marius Appel
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-24
Latest Update: 2023-04-14
Description:
Processing collections of Earth observation images as on-demand multispectral, multitemporal raster data cubes. Users
define cubes by spatiotemporal extent, resolution, and spatial reference system and let 'gdalcubes' automatically apply cropping, reprojection, and
resampling using the 'Geospatial Data Abstraction Library' ('GDAL'). Implemented functions on data cubes include reduction over space and time,
applying arithmetic expressions on pixel band values, moving window aggregates over time, filtering by space, time, bands, and predicates on pixel values,
exporting data cubes as 'netCDF' or 'GeoTIFF' files, plotting, and extraction from spatial and or spatiotemporal features.
All computational parts are implemented in C++, linking to the 'GDAL', 'netCDF', 'CURL', and 'SQLite' libraries.
See Appel and Pebesma (2019) for further details.
How to cite:
Marius Appel (2019). gdalcubes: Earth Observation Data Cubes from Satellite Image Collections. R package version 0.7.0, https://cran.r-project.org/web/packages/gdalcubes
Previous versions and publish date:
0.1.0 (2019-05-24 12:00), 0.2.0 (2019-08-08 17:00), 0.2.1 (2019-08-21 14:20), 0.2.2 (2019-10-16 00:10), 0.2.3 (2019-10-21 15:30), 0.2.4 (2020-02-02 16:00), 0.2.5 (2020-05-18 00:30), 0.3.0 (2020-08-06 01:10), 0.3.1 (2020-08-27 13:40), 0.4.0 (2021-07-13 14:00), 0.4.1 (2021-07-29 15:00), 0.5.0 (2021-10-28 15:30), 0.5.1 (2021-12-03 11:00), 0.6.0 (2022-03-08 09:40), 0.6.1 (2022-03-23 02:10), 0.6.2 (2022-10-10 23:20), 0.6.3 (2023-01-19 12:30), 0.6.4 (2023-04-14 13:50)
Other packages that cited gdalcubes R package
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Other R packages that gdalcubes depends,
imports, suggests or enhances
Functions, R codes and Examples using
the gdalcubes R package
Some associated functions: add_collection_format . add_images . aggregate_space . aggregate_time . animate . apply_pixel.array . apply_pixel.cube . apply_pixel . apply_time.array . apply_time.cube . apply_time . as_array . as_json . bands . chunk_apply . collection_formats . create_image_collection . crop . cube_view . dim.cube . dimension_bounds . dimension_values . dimensions . dot-copy_cube . extent . extract_geom . fill_time . filter_geom . filter_pixel . gdalcubes . gdalcubes_gdal_has_geos . gdalcubes_gdalformats . gdalcubes_gdalversion . gdalcubes_options . gdalcubes_selection . gdalcubes_set_gdal_config . gdalcubes_version . image_collection . image_mask . join_bands . json_cube . memsize . names.cube . nbands . ncdf_cube . nt . nx . ny . pack_minmax . plot.cube . print.cube . print.cube_view . print.image_collection . proj4 . raster_cube . read_chunk_as_array . reduce_space.array . reduce_space.cube . reduce_space . reduce_time.array . reduce_time.cube . reduce_time . rename_bands . select_bands . select_time . size . slice_space . slice_time . srs . st_as_stars.cube . stac_image_collection . stack_cube . window_time.cube . window_time . write_chunk_from_array . write_ncdf . write_tif .
Some associated R codes: RcppExports.R . aggregate_space.R . aggregate_time.R . animate.R . apply_pixel.R . apply_time.R . chunk_apply.R . coerce.R . config.R . crop.R . cube.R . dummy.R . extract.R . fill_time.R . filter_geom.R . filter_pixel.R . gdalcubes.R . image_collection.R . join_bands.R . ncdf_cube.R . plot.R . reduce.R . rename_bands.R . select_bands.R . select_time.R . selection.R . slice.R . stac.R . streaming.R . view.R . window.R . zzz.R . Full gdalcubes package functions and examples
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