NMFS Openscapes NMFS Open Science NMFS R User Group


In 2023, I am focusing on cloud computing platforms and working with NASA EarthData (mainly) in R. See the ‘Workshop Sessions’ tab in top navigation for a link to 2023 sessions.

About the instructor Eli Holmes: I am a modeler/applied mathematician. I teach time-series analysis at the University of Washington (using R) and I teach workshops on R and reproducible research. Since 2021, I have been attending and helping with hackweeks using JupyterHubs provisioned for geospatial analyses: NASA EarthData Cloud hackweek, ICESat-2 hackweek, SnowEx hackweek (assistant), OceanHackWeek (project lead), ITCOocean Hack2Week (lead organizer).

CLICK HERE TO SIGN UP

Dec 6 - Intro to JupyterHubs

On Dec 6th at 12:30PM PT, I am demo-ing a JupyterHub that I have set up on a Kubernetes Cluster on the NOAA Azure account. CLICK HERE TO SIGN UP 🐟 Link to calendar event

In this session, you will get a brief introduction to JupyterHubs, which is a popular platform for cloud computing. It is an open source, provider agnostic (runs on AWS, GCP or Azure), computing platform used across scientific communities for shared computing environments. You’ll get to play around on a JupyterHub set up for geospatial analyses with R or Python using either Jupyter notebooks or RStudio. I will discuss how cloud computing platforms streamline and accelerate science innovation by increasing reproducibility and removing the “set-up” phase of a computing environment. This is especially important with big data geospatial analysis as the ‘set-up’ phase can be tricky and time-consuming.

JupyterHub: https://dhub.opensci.live/hub/login

If you want to get on the JupyterHub during the intro session, I will need your GitHub username. Provide that with this form: https://forms.gle/RQdnw4HsbSd3zC9b8

Dec 19 - Geospatial Data in R HackDay Dec 19th

On Dec 19th 8-3pm PT, I will run a mini NOAA hackday during which we will use the JupyterHub to do a day of geospatial analysis with R and work on projects pitched by the group. CLICK HERE TO SIGN UP 🐟 Link to calendar event

Schedule

GitHub username required to participate as we will use it provide access to the JupyterHub. Provide with this form: https://forms.gle/RQdnw4HsbSd3zC9b8.

Coding skills needed For this session, I will only be presenting content in R. However Python programmers are welcome to join as a geospatial environment for Python is also on the hub. You will not need Git/GitHub skills. The GitHub username is used for authentication to the hub.

NWFSC Math Bio Program, NOAA Fisheries