FW: #maptimeDavis: Making Maps in R
Michele M Tobias
Hello D-RUG folks! maptimeDavis would like to invite you to join us for a session about making maps in R! Details are forwarded below.
Send me any questions!
Michele
Michele Tobias, PhD
Geospatial Data Scientist
DataLab: Data Science & Informatics
UC Davis Library
370 Shields Library
ORCID: 0000-0002-2954-8710
Pronouns: she, her, hers
From: geospatial Sympa List (request) <geospatia...@lists.ucdavis.edu>
On Behalf Of Matthew Conner
Sent: Monday, February 16, 2026 11:05 AM
To: geospatial Sympa List <geosp...@ucdavis.edu>
Subject: [geospatial] #maptimeDavis: Making Maps in R
Making Maps in R
Date: 2/20/2026
Location: DataLab Classroom - room 360 Shields Library
Description: In this workshop, participants will learn how to use several options for composing maps in R.
After completing this chapter, learners should be able to: Apply popular mapping workflows to create maps with spatial data; assess which workflow works best in different situations; apply cartographic best practices to a map composition in R
Concepts Covered: R, Cartography, Programming, Data Vizualization
Speaker: Michele Tobias
Michele Tobias is a geospatial data scientist with a background in geospatial methods for ecology. Michele earned her PhD from UC Davis in Geography where she studied California’s sandy beach ecosystem with traditional phytosociological methods and innovative remote sensing tools and was a postdoc at the UC Davis Information Center for the Environment. In her current position as a geospatial data scientist at UC Davis DataLab, she applies geospatial tools to new avenues of research across disciplines.
Prerequisites: For the best experience, we recommend learners have the following skills before taking this workshop: an introductory understanding of programming in R (for example, you are familiar with how to load libraries, load common data formats like a CSV, and are comfortable running basic commands). See DataLab’s R Basics Workshop for help; an introductory understanding of spatial data (for example, you are familiar with the difference between raster and vector data). See DataLab’s ,a href="https://ucdavisdatalab.github.io/workshop_spatial_data_formats/">Spatial Data Formats Workshop</a> for help; (recommended) review the concepts (first section) of DataLab’s Cartography for Academic Publications Workshop
Software Required: To fully participate in this workshop, learners should download and install R and RStudio on their laptop before the workshop begins.
Whenever possible, #maptimeDavis Workshops will be recorded and posted on the #maptimeDavis YouTube channel. #maptimeDavis Studio will not be recorded to encourage open discussion. Weekly reminders will be sent on the Geospatial Email List.
#maptimeDavis Workshops and Studio are a product of UC Davis DataLab’s Spatial Sciences Research Cluster and are supported by the contributions and participation of our community. Please send questions to Michele Tobias mmto...@ucdavis.edu
Matt Conner
Student Services Department
Library
University of California, Davis
on behalf of the #maptimeDavis council