Package: gimms
Type: Package
Title: Download and Process GIMMS NDVI3g Data
Version: 1.1.3
Date: 2020-03-18
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 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.
Depends: R (>= 2.10), raster, methods
Imports: curl, parallel, Kendall, ncdf4, zyp
License: MIT + file LICENSE
LazyData: TRUE
RoxygenNote: 7.1.0
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-03-19 06:38:48 UTC; FlorianD
Author: Florian Detsch [cre, aut]
Repository: CRAN
Date/Publication: 2020-03-19 12:10:14 UTC
Built: R 3.6.3; ; 2020-08-05 04:43:30 UTC; windows
