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Clicking the download link will automatically download all of the files to your default download directory as a single compressed
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(`.zip`) file. To expand this file, double click the folder icon in your file navigator application (for Macs, this is the Finder
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(`.zip`) file. To expand this file, double click the folder icon in your file navigator application (for Macs, this is the Finder
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application).
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For a full description of the data used in this workshop see the [data page](data).
@@ -46,14 +46,14 @@ The installation of the geospatial libraries GDAL, GEOS, and PROJ.4 varies signi
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> ## macOS
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>
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> For participants who do not already have [homebrew](https://brew.sh) installed, and who may be less comfortable with the command line, the easiest was to obtain the geospatial libraries is to install the latest version of [Kyng Chaos's pre-built package](http://www.kyngchaos.com/software/frameworks) for GDAL Complete. Be aware that several other libraries are also installed, including the UnixImageIO, SQLite3, and `NumPy`.
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>
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> After downloading the package in the link above, you will need to double-click the
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>
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> After downloading the package in the link above, you will need to double-click the
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> cardbord box icon to complete the installation. Depending on your security settings,
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> you may get an error message about "unidentified developers". You can enable the
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> you may get an error message about "unidentified developers". You can enable the
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> installation by following [these instructions](https://kb.wisc.edu/page.php?id=25443)
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> for installing programs from
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> unidentified developers.
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>
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> unidentified developers.
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>
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> Alternatively, participants who are comfortable with the command line can install the geospatial libraries individually using [homebrew](https://brew.sh):
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>
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>~~~
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>~~~
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>{: .language-bash}
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>
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> For **Debian**: The [rocker geospatial](https://github.com/rocker-org/geospatial) Dockerfiles may be helpful. Ubuntu Dockerfiles are found [here](https://github.com/r-spatial/sf/tree/master/inst/docker).
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> For **Debian**: The [rocker geospatial](https://github.com/rocker-org/geospatial) Dockerfiles may be helpful. Ubuntu Dockerfiles are found [here](https://github.com/r-spatial/sf/tree/master/inst/docker). These may be helpful to get an idea of the commands needed to install the necessary dependencies.
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>
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{: .solution}
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@@ -160,8 +160,7 @@ Participants who do not already have `R` installed should download and install i
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{: .solution}
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### RStudio
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RStudio is a GUI for using `R` that is available for Windows, macOS, and various Linux operating systems. It can be downloaded [here](https://www.rstudio.com/products/rstudio/download/). You will need the **free** Desktop version for your computer.
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RStudio is a GUI for using `R` that is available for Windows, macOS, and various Linux operating systems. It can be downloaded [here](https://www.rstudio.com/products/rstudio/download/). You will need the **free** Desktop version for your computer. *In order to address issues with `ggplot2`, learners and instructors should run a recent version of RStudio (v1.2 or greater).*
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### R Packages
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@@ -176,7 +175,7 @@ The following `R` packages are used in the various geospatial lessons.
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* [`sf`](https://cran.r-project.org/package=sf)
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To install these packages in RStudio, do the following:
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1\. Open RStudio by double-clicking the RStudio application icon. You should see
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1\. Open RStudio by double-clicking the RStudio application icon. You should see
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something like this:
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~~~
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{: .output}
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When the installation is complete, you will see a status message like:
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When the installation is complete, you will see a status message like:
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