Package downloads from the RStudio CRAN Mirror

Introducing the 'gimms' package

... is an open-access tutorial about the gimms package which is now available from GitBook. The book will be continuously updated as gimms develops further, so make sure to check it out regularly!

What's new?

2015-12-16, added parallel support

I decided to add optional multi-core support to downloadGimms, rasterizeGimms and monthlyComposite. The referring arument is called 'cores' and, if not specified otherwise, defaults to 1 (i.e., parallel computing is disabled). In the course of this, the gimms package version on branch 'develop' has been incremented to 0.4.0 and can be installed via devtools::install_github (see further below).

2015-11-13, gimms 0.3.0 is now on CRAN

It's Friday 13th and an updated version of the gimms package has been published on CRAN. The new version includes

• significantTau to calculate pixel-based (and optionally pre-whitened) Mann-Kendall trend tests from a previously processed GIMMS NDVI3g (or any kind of) 'RasterStack/Brick' object. Note that it also works with simple 'numeric' vectors (i.e., univariate time series observations);
• the below compatibility update of downloadGimms that enabled 'Date' input;
• and some minor bug-fixes.

2015-11-11, downloadGimms now works with 'Date' input

In response to recent user suggestions, I decided to enable 'Date' input for downloadGimms which grants the user a finer control over the temporal coverage of the data to be downloaded. The changes are currently available from the 'develop' branch via

devtools::install_github("environmentalinformatics-marburg/gimms", 
                         ref = "develop")

and will be submitted to CRAN soon.

The problem was obviously related to download.file which worked just fine on Linux when using the default settings, but introduced distortions on Windows. In the newest package version 0.2.0 which is now brand-new on CRAN, I therefore specified download.file(..., mode = "wb") to explicitly enable binary writing mode.

Thanks again for the input!