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README.Rmd

@@ -35,7 +35,7 @@ Get high-resolution (1 km) daily climate data (precipitation, minimum and maximu
 
 This climatic dataset was originally built by [A. Moreno & H. Hasenauer](https://doi.org/10.1002/joc.4436) and further developed by W. Rammer, C. Pucher & M. Neumann (see [this document](https://github.com/VeruGHub/easyclimate/blob/master/inst/Description_Evaluation_Validation_Downscaled_Climate_Data_v2.pdf) for more details on the development and characteristics of the climatic dataset, and [this document](https://doi.org/10.6084/m9.figshare.22962671.v1) for the updates of the last version - v4).
 
-In this R package we implemented [Cloud-Optimised Geotiffs](https://www.cogeo.org/) so that we can obtain daily climate data for thousands of sites/days within seconds/minutes, without having to download huge rasters. But if you need to obtain data for large areas, please download the rasters from the FTP server (<ftp://palantir.boku.ac.at/Public/ClimateData/>) and extract the values locally rather than using this package, so as not to saturate the file server. For that, you may use a FTP client such as [FileZilla](https://filezilla-project.org/).
+In this R package we implemented [Cloud-Optimised Geotiffs](http://www.cogeo.org/) so that we can obtain daily climate data for thousands of sites/days within seconds/minutes, without having to download huge rasters. But if you need to obtain data for large areas, please download the rasters from the FTP server (<ftp://palantir.boku.ac.at/Public/ClimateData/>) and extract the values locally rather than using this package, so as not to saturate the file server. For that, you may use a FTP client such as [FileZilla](https://filezilla-project.org/).
 
 For a detailed description of {easyclimate}, please read [this paper](https://doi.org/10.1016/j.envsoft.2023.105627) (open access version [here](https://doi.org/10.32942/osf.io/mc8uj)) or visit the package [website](https://verughub.github.io/easyclimate/).