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 from NASA Ames Ecological Forecasting Lab (ECOCAST); 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: | 1.1.3 |
| Depends: | R (≥ 2.10), raster, methods |
| Imports: | curl, parallel, Kendall, ncdf4, zyp |
| Published: | 2020-03-19 |
| 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_1.1.3.tar.gz |
| Windows binaries: | r-devel: gimms_1.1.3.zip, r-release: gimms_1.1.3.zip, r-oldrel: gimms_1.1.3.zip |
| macOS binaries: | r-release: gimms_1.1.3.tgz, r-oldrel: gimms_1.1.3.tgz |
| Old sources: | gimms archive |
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