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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 |
Reference manual: | gimms.pdf |
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 |
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.