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appeears: Interface to 'AppEEARS' NASA Web Services

Programmatic interface to the NASA Application for Extracting and Exploring Analysis Ready Samples services (AppEEARS; <https://appeears.earthdatacloud.nasa.gov/>). The package provides easy access to analysis ready earth observation data in R.

Version: 1.1
Depends: R (≥ 4.0)
Imports: httr, keyring, memoise, getPass, R6, sf, jsonlite, geojsonio, rstudioapi
Suggests: rmarkdown, covr, testthat, terra, ncdf4, knitr, rlang, dplyr, ggplot2, patchwork
Published: 2023-09-15
Author: Koen Hufkens ORCID iD [aut, cre], Elio Campitelli ORCID iD [ctb], BlueGreen Labs [cph, fnd]
Maintainer: Koen Hufkens <koen.hufkens at gmail.com>
BugReports: https://github.com/bluegreen-labs/appeears/issues
License: AGPL-3
URL: https://github.com/bluegreen-labs/appeears
NeedsCompilation: no
Citation: appeears citation info
CRAN checks: appeears results

Documentation:

Reference manual: appeears.pdf
Vignettes: AppEEARS functionality

Downloads:

Package source: appeears_1.1.tar.gz
Windows binaries: r-devel: appeears_1.1.zip, r-release: appeears_1.1.zip, r-oldrel: appeears_1.1.zip
macOS binaries: r-release (arm64): appeears_1.1.tgz, r-oldrel (arm64): appeears_1.1.tgz, r-release (x86_64): appeears_1.1.tgz, r-oldrel (x86_64): appeears_1.1.tgz
Old sources: appeears archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=appeears to link to this page.

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.
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