Summary and Setup

Welcome to the Intro to Geospatial Raster and Vector data workshop for the Ocean Science Expedition Academy!

We have a fun workshop planned for you all.

In addition to class time on Tuesdays from 3-5p PT, we will offer an optional “Office Hours” time on Thursdays from 4-5p PT. These Office Hours will alternate between troubleshooting sessions where you can bring anything in R that you’ve been working on and would like some guidance with, and R lectures, where scientists will come and give a presentation about how they have used R in their work.

There will be a kick-off Office Hour on 2026-08-03 from 4-5p PT for help downloading R, RStudio, and the datasets required for this workshop.

We have the schedule for both below.

Class Schedule (Tues, 3-5p PT):


Week Date Topics Covered
Week 1 2026-08-04 Introduction to R and RStudio, Project Management with R, Data Structures
Week 2 2026-08-11 Exploring Data Frames, Subsetting Data, Data frame Manipulation with dplyr
Week 3 2026-08-18 Introduction to Visualization, Writing Data, Intro to Raster Data
Week 4 2026-08-25 Plot Raster Data, Reproject Raster Data
Week 5 2026-09-01 Open and Plot Vector Layers, Explore and Plot by Vector Layer Attributes
Week 6 2026-09-08 Plot Multiple Vector Layers, Handling Spatial Projection & CRS
Week 7 2026-09-15 Convert from .csv to a Vector Layer, Manipulate Raster Data
Week 8 2026-09-22 Create Publication-quality Graphics

Office Hours & R Lectures (Thur, 4-5p PT)


Date Class Type Topics Covered
2026-08-06 R Lecture Presentation by Dr. Arthur Barraza
2026-08-13 Office hours Bring any-R-thing you need help troubleshooting
2026-08-20 R Lecture Presentation by TBD
2026-08-27 Office hours Bring any-R-thing you need help troubleshooting
2026-09-03 R Lecture Presentation by TBD
2026-09-10 Office hours Bring any-R-thing you need help troubleshooting
2026-09-17 R Lecture Presentation by TBD
2026-09-24 Office hours Bring any-R-thing you need help troubleshooting

Instructors and Helpers


We also have a great group of instructors and helpers for this workshop:

  • Echelle Burns (she/her), Project Scientist at Environmental Markets Lab at University of California, Santa Barbara
  • Danielle Ferraro (she/her), Project Scientist at Environmental Markets Lab at University of California, Santa Barbara
  • Jason Flower (he/him), Senior Project Scientist at Environmental Markets Lab at University of California, Santa Barbara
  • Lennon Thomas (she/her), Senior Project Scientist at Environmental Markets Lab at University of California, Santa Barbara

Data Sets


Download the data described here and save it in a handy location. We will organize our folders during the workshop.

Software Setup


You can follow the instructions here to download R and RStudio