To get started please proceed further down under the update section.
_This R-package was developed as a student project for the masters programm Geography at the Universität Hamburg, Germany._
## Update 09.03.2021
As of today a new alpha version is released.
If you want to test the ClimDatDownloadR-package please feel free to install the package via
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@@ -23,12 +23,11 @@ If you find anything, please send an email to [helge.marc.ole.jentsch@uni-hambur
Thank you very much for using ClimDatDownloadR!
## A warm welcome
Hello and welcome to the ClimDatDownloadR R-package.
With this package **cli**mate **dat**asets provided by [Chelsa](http://chelsa-climate.org/) and [WorldClim](https://www.worldclim.org/) can be automatically **download**ed, clipped, and converted with **R**.
To start, you'll have to install the package and it's dependencies first, if not already done. Then you can activate the package with the `library`-function.
# install.packages("https://gitlab.rrz.uni-hamburg.de/helgejentsch/climdatdownloadr/-/archive/master/climdatdownloadr-master.tar.gz", repos = NULL, type = "source")
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@@ -36,11 +35,20 @@ library(ClimDatDownloadR)
```
Very well, now that you have the package installed and attached, let's start with the data sets of the climatologies of Chelsa and WorldClim.
## Overview of download-functions
Besides the functions to download the currend climatologies of [Chelsa](http://chelsa-climate.org/) and [WorldClim](https://www.worldclim.org/), described below as [`Chelsa.Clim.download()`](../man/Chelsa.Clim.download.Rd) and [`WorldClim.HistClim.download()`](../man/WorldClim.HistClim.download.Rd), the package offers more download functions.
- Beginning with the 'Last Glacial Maximum'-data set (LGM), Chelsa offers a data set with parameters like precipitation, temperature, and also bioclim variables, driven by various models. It can be called with [`Chelsa.lgm.download()`](../man/Chelsa.lgm.download.Rd).
-[Chelsa's](http://chelsa-climate.org/) timeseries dataset can be downloaded via the [`Chelsa.timeseries.download()`](../man/Chelsa.timeseries.download.RD)-function.
- For projected climatic conditions both [Chelsa](http://chelsa-climate.org/) and [WorldClim](https://www.worldclim.org/) provide various options.
-[Chelsa's](http://chelsa-climate.org/) options can be downloaded through the functions [`Chelsa.CMIP_5.download()`](../man/Chelsa.CMIP_5.download.RD) and/or [`Chelsa.CRUts.download()`](../man/Chelsa.CRUts.download.RD).
-[WorldClim's](https://www.worldclim.org/) options can be downloaded through the functions [`WorldClim.CMIP_5.download()`](../man/WorldClim.CMIP_5.download.RD) and/or [`WorldClim.CMIP_6.download()`](../man/WorldClim.CMIP_6.download.RD).
## Download Climatologies
In the help pages of [Chelsa.Clim.download()](../man/Chelsa.Clim.download.Rd) and [WorldClim.HistClim.download()](../man/WorldClim.HistClim.download.Rd) you can find further information about the handling of these functions. In fact running the functions all by itself bulk-downloads all the climatology data sets from the servers to your current working directory.
In the help pages of [`Chelsa.Clim.download()`](../man/Chelsa.Clim.download.Rd) and [`WorldClim.HistClim.download()`](../man/WorldClim.HistClim.download.Rd) you can find further information about the handling of these functions. In fact running the functions all by itself bulk-downloads all the climatology data sets from the servers to your current working directory.
Let's start with a example of the Chelsa climatologies:
```
```{r setup}
Chelsa.Clim.download(
# first you'll have to choose your working directory
# don't worry about having a directory for every parameter you want to download
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@@ -83,7 +91,7 @@ Chelsa.Clim.download(
```
___
With this showing the basic principle of these functions, here is a example of a WorldClim climatology download:
```
```{r setup}
WorldClim.HistClim.download(
# As you can see, the structure of this function is very similar to the Chelsa-function
