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gimms: Download and Process GIMMS NDVI3g Data

This is a set of functions to retrieve information about GIMMS NDVI3g files currently available online; download (and re-arrange, in the case of NDVI3g.v0) the half-monthly data sets; import downloaded files from ENVI binary (NDVI3g.v0) or NetCDF format (NDVI3g.v1) directly into R based on the widespread 'raster' package; conduct quality control; and generate monthly composites (e.g., maximum values) from the half-monthly input data. As a special gimmick, a method is included to conveniently apply the Mann-Kendall trend test upon 'Raster*' images, optionally featuring trend-free pre-whitening to account for lag-1 autocorrelation.

Version: 1.2.2
Depends: R (≥ 3.5), raster, methods
Imports: curl, parallel, Kendall, ncdf4, zyp
Suggests: tinytest
Published: 2023-08-09
DOI: 10.32614/CRAN.package.gimms
Author: Florian Detsch [cre, aut]
Maintainer: Florian Detsch <fdetsch at web.de>
BugReports: https://github.com/environmentalinformatics-marburg/gimms/issues
License: MIT + file LICENSE
URL: https://github.com/environmentalinformatics-marburg/gimms
NeedsCompilation: no
Materials: README NEWS
CRAN checks: gimms results

Documentation:

Reference manual: gimms.pdf

Downloads:

Package source: gimms_1.2.2.tar.gz
Windows binaries: r-devel: gimms_1.2.2.zip, r-release: gimms_1.2.2.zip, r-oldrel: gimms_1.2.2.zip
macOS binaries: r-release (arm64): gimms_1.2.2.tgz, r-oldrel (arm64): gimms_1.2.2.tgz, r-release (x86_64): gimms_1.2.2.tgz, r-oldrel (x86_64): gimms_1.2.2.tgz
Old sources: gimms archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gimms 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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