fixed paths to images in setup.md. They should have been relative, but started with root (/)

Author: Jon Jablonski

learners/setup.md

@@ -194,7 +194,7 @@ This option involves downloading an Docker image that contains an installation o
 
 Once up and running - you'll have full access to RStudio right from your browser:
 
-![](/fig/docker.png){alt="RStudio layout in browser showing similarity to desktop layout"}
+![](fig/docker.png){alt="RStudio layout in browser showing similarity to desktop layout"}
 
 Please be aware that the `R` package `rasterVis` is not included in the `rocker/geospatial` Docker image. If your instructor teaches with this package then you will need to install this `R` package yourself. All other `R` packages will already be installed for you.
 
@@ -275,17 +275,17 @@ If you are returning to a session after stopping Docker itself, make sure Docker
 
 Once you have installed Kitematic, make sure the Docker application is running and then open Kitematic. You should not need to create a login to use Kitematic. If prompted for login credentials, there is an option to skip that step. Use the search bar in the main window to find `rocker/geospatial` (pictured below) and click `Create` under that Docker repository.
 
-![](/fig/kitematicSearch.png)
+![](fig/kitematicSearch.png)
 
 After downloading and installing the image, your container should start automatically. Before opening your browser, connect your Docker image to a local folder where you have your workshop resources stored by clicking on the `Settings` tab and then choosing `Volumes`. Click `Change` and then select the directory you would like to connect to.
 
-![](/fig/kitematicLocal.png)
+![](fig/kitematicLocal.png)
 
 When you open RStudio instance below, you will see the contents of the connected folder inside the `kitematic` directory in the file tab located in the lower righthand corner of the screen.
 
 When you are ready, copy the `Access URL` from the `Home` tab:
 
-![](/fig/kitematicURL.png)
+![](fig/kitematicURL.png)
 
 Paste that url into your browser and, if prompted, enter `rstudio` for both the username and the password.