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contents/computing-environment.qmd

@@ -23,24 +23,33 @@ It should be as easy as possible to grab the whole onion and take it where you w
 be that a local VSCode editor on your laptop, or an RStudio Server instance 
 running up on Microsoft Azure cloud.  
 
-## On the cloud: Codespaces
+## On the cloud: Gitpod or Codespaces
 
+[![Open in Gitpod](https://gitpod.io/button/open-in-gitpod.svg)](https://gitpod.io/#https://github.com/boettiger-lab/nasa-topst-env-justice)
 [![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/espm-157/nasa-topst-env-justice?quickstart=1)
 
+Both [GitHub Codespaces](https://github.com/codespaces) and [Gitpod](https://gitpod.io/about) provide
+a fast and simple way to enter into integrated development environments such as VSCode, RStudio, or JupyterLab
+on free, cloud-based virtual machines. Codespaces has a free tier of 60 hours/month, Gitpod of 50 hours a month,
+both offer paid plans for additional use and larger compute instances. Small codespace instances are also [free to instructors](https://docs.github.com/en/education/manage-coursework-with-github-classroom/integrate-github-classroom-with-an-ide/using-github-codespaces-with-github-classroom)
 
-By clicking the "Open in GitHub Codespaces" button on the README in GitHub, users
+
+By clicking on one of the buttons in GitHub, users
 will be placed into a free cloud-based virtual machine running a VSCode editor
 in their web browser. The first setup can take a few minutes to complete.
 
 Additionally, this also provides access to an RStudio environment on an embedded port for users
 who prefer that editor to VSCode. Once the Codespace has fully completed loading, it 
 will include a link in a second welcome message in the Terminal to access RStudio like so:
 
-![](img/vscode-welcome.png)
+<img align="right" src="mg/vscode-welcome.png" width="250">
 
 The RStudio link can also always be accessed from the Ports tab under the port labeled "Rstudio" (8787).
+(Gitpod will show a pop-up message to open this port instead.)
 
-Both the VSCode and RStudion editors run in the same underlying custom Docker container, which
+Both Codespaces and Gitpod can be configured with custom compute environments by supplying a docker image.
+Both the VSCode and RStudio editors run in the same underlying custom Docker container.
+This repository includes a Dockerfile defining this compute environment which
 includes specific versions of R and python packages, the 
 latest releases of the OSGeo C libraries GDAL, PROJ, and GEOS that power
 many spatial operations in both languages.  These elements are pre-compiled