Package: gimms
Title: Download and Process GIMMS NDVI3g Data
Version: 1.2.5
URL: https://github.com/environmentalinformatics-marburg/gimms
BugReports: https://github.com/environmentalinformatics-marburg/gimms/issues
Authors@R: person("Florian", "Detsch", email = "fdetsch@web.de", role = c("cre", "aut"))
Maintainer: Florian Detsch <fdetsch@web.de>
Description: 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.
Depends: R (>= 3.5), raster, methods
Imports: curl, Kendall, parallel, ncdf4, zyp
License: MIT + file LICENSE
LazyData: TRUE
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Encoding: UTF-8
Suggests: checkmate, tinytest
Config/pak/sysreqs: libgdal-dev gdal-bin libgeos-dev libnetcdf-dev
        libssl-dev libproj-dev libsqlite3-dev
Repository: https://environmentalinformatics-marburg.r-universe.dev
Date/Publication: 2026-03-31 12:38:19 UTC
RemoteUrl: https://github.com/environmentalinformatics-marburg/gimms
RemoteRef: HEAD
RemoteSha: bc52e54d48ec57936dbd005b94b543490ccb65ca
NeedsCompilation: no
Packaged: 2026-06-19 07:28:54 UTC; root
Author: Florian Detsch [cre, aut]