Package: gdalcubes
Title: Earth Observation Data Cubes from Satellite Image Collections
Version: 0.7.4
Date: 2026-05-28
Authors@R: c(
    person(given = "Marius",
           family = "Appel",
           role = c("aut", "cre"),
           email = "marius.appel@hs-bochum.de",
           comment = c(ORCID = "0000-0001-5281-3896")),
    person(given = "Edzer",
           family = "Pebesma",
           role = "ctb",
           comment = c(ORCID = "0000-0001-8049-7069")),
    person(given = "Roger",
           family = "Bivand",
           role = "ctb"),
    person(given = "Jeroen",
           family = "Ooms",
           role = "ctb",
           comment = c(ORCID = "0000-0002-4035-0289")),        
    person(given = "Lewis",
           family = "Van Winkle",
           role = "cph"),
    person(given = "Ole Christian",
           family = "Eidheim",
           role = "cph"),
    person(given = "Howard",
           family = "Hinnant",
           role = "cph"),
    person(given = "Adrian",
           family = "Colomitchi",
           role = "cph"),
    person(given = "Florian",
           family = "Dang",
           role = "cph"),
    person(given = "Paul",
           family = "Thompson",
           role = "cph"),
    person(given = "Tomasz",
           family = "Kamiński",
           role = "cph"),
    person(given = "Dropbox, Inc.",
           role = "cph"))
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)
        <doi:10.3390/data4030092> for further details.
Depends: R (>= 4.1.0)
Imports: Rcpp, jsonlite, ncdf4
License: MIT + file LICENSE
URL: https://github.com/appelmar/gdalcubes
BugReports: https://github.com/appelmar/gdalcubes/issues/
Encoding: UTF-8
LinkingTo: Rcpp, BH
Suggests: knitr, rmarkdown, stars, av, gifski, sf, tinytest, lubridate
VignetteBuilder: knitr
Copyright: file inst/COPYRIGHTS
NeedsCompilation: yes
SystemRequirements: GDAL (>= 2.0.1), PROJ (>= 4.8.0), netcdf, sqlite3
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: libgdal-dev gdal-bin libnetcdf-dev libproj-dev
        libsqlite3-dev
Repository: https://appelmar.r-universe.dev
Date/Publication: 2026-05-28 19:42:28 UTC
RemoteUrl: https://github.com/appelmar/gdalcubes
RemoteRef: HEAD
RemoteSha: 2cc0d46d6d8264fe7679defe673cf5ca04c151b8
Packaged: 2026-07-04 11:03:15 UTC; root
Author: Marius Appel [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-5281-3896>),
  Edzer Pebesma [ctb] (ORCID: <https://orcid.org/0000-0001-8049-7069>),
  Roger Bivand [ctb],
  Jeroen Ooms [ctb] (ORCID: <https://orcid.org/0000-0002-4035-0289>),
  Lewis Van Winkle [cph],
  Ole Christian Eidheim [cph],
  Howard Hinnant [cph],
  Adrian Colomitchi [cph],
  Florian Dang [cph],
  Paul Thompson [cph],
  Tomasz Kamiński [cph],
  Dropbox, Inc. [cph]
Maintainer: Marius Appel <marius.appel@hs-bochum.de>