Commit to the cloud!

A collection of instructional or informational resources relating to R, web development, collaboration, or general informational content. All of these documents are licensed under an MIT license and are free to use. You may also consider contributing through the GitHub repository for this site. It’s also worth noting that many of these linked documents also have their own GitHub repositories, indicated within the document and you are always welcome to contribute there too.


Containers in the Cloud! [Link]
Deploying a simple node.js application to Heroku using Docker containers.Development

Building a Basic Jekyll Website [Link]
What I've done & how I did it.Development

Building a Python Twitter-bot [Link]
Building outreach tools & learning programming languages from concepts.Development

Collaborative Models in GitHub [Link]
How to choose between three models of collaboration on GitHub, and how to implement each.GitHub

Ontology in Earth Science [Link]
Thoughts about ontology systems and their applicability in the Earth SciencesMisc

Adding CI To RMarkdown Documents [Link]
Using continuous integration with RMarkdown documents.R

The Neotoma Database - Tools [Link]
Learning how to explore hypotheses with Neotoma tools.R

Style your R [Link]
A broader vignette of the functionality in the R neotoma package.R

Spatial Data On the Web [Link]
How to use Leaflet and Shiny to interactively explore spatial data.R

Using GeoDeepDive to Quantify Missing Archives [Link]
GeoDeepDive consists of a cyberinfrastructure to manage documents from scientific publishers and to apply Natural Language Processing in an effort to build rich data discovery tools that can leverage dark data in new ways.R

Graph databases in R using neo4j and the NSF [Link]
Looking at the EarthCube Program as a set of interconnected nodes.R

Advanced Neotoma for Fun and Profit [Link]
A broader vignette of the functionality in the R neotoma package.R

rOpenSci Fellowship Application [Link]
Application for rOpenSci's Fellowship program to construct a workflow management system.R

Regular expressions in R, with a useful Shiny app. [Link]
An introduction to the strinr package and regular expression searching.R