Introduction to Geospatial Raster and Vector Data with R

UC Santa Barbara Library

April 11 & 13, 2022

9:30 am - 12:30 pm

Instructors: Echelle Burns, Kristi Liu, Gavin McDonald, Jon Jablonski

Helpers: Amanda Ho

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General Information

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".

Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: Room 1312, Davidson Library, 525 U-Cen Rd, Santa Barbara, CA. Get directions with OpenStreetMap or Google Maps.

When: April 11 & 13, 2022. Add to your Google Calendar. For both days, food and drink will be provided.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).

Accessibility: We are committed to making this workshop accessible to everybody. For workshops at a physical location, the workshop organizers have checked that:

Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.

Contact: Please email for more information.

Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.


For a few of us, teaching Carpentry workshops is part of our job descriptions, but most are volunteers from around campus and the academic Santa Barbara community - including researchers, post-docs, graduate students, faculty, and staff. Meet the instructors and helpers:

Echelle Burns | she/her | Project Scientist with Environmental Markets Lab at UCSB with a background in fish movement and ecology.
Amanda Ho | she/her | Library staff at the Interdisciplinary Research Collaboratory for instructional design and support.
Jon Jablonski | he/him | A frustrated Sinologist, Jon struggles with code as if it were Sanskrit.
Kristi Liu | she/her | A UCSB Geography alum and Library staff member, Kristi spends her free time gluing tiny little GPS units to bees and monitoring regional meteorology
Gavin McDonald | he/him | Senior Project Researcher at Environmental Markets Lab at UCSB with a background in fisheries science, big data, and machine learning.

Code of Conduct

Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.

Collaborative Notes

We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.


Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey


Day 1

Before starting Pre-workshop survey
9:30 am Workshop Introduction
9:45 am Introduction to Raster Data
10:35 am Plot Raster Data
11:15 am Break
11:30 am Reproject Raster Data
11:50 am Raster Calculations
12:20 pm Work With Multi-Band Rasters
12:30 pm END


To participate in a Data Carpentry workshop, you will need access to software as described on this page: Setup Page. In addition, you will need an up-to-date web browser.

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.