R Geospatial Fundamentals: Parts 1-3

March 11, 2024, 9:00am to March 18, 2024, 11:00am

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Location: Remote via Zoom. Link will be sent on the morning of the event.

Recordings: This D-Lab workshop will be recorded and made available to UC Berkeley participants for a limited time. Your registration for the event indicates your consent to having any images, comments and chat messages included as part of the video recording materials that are made available.

Date & Time: This workshop is a 3-part series running from 9am-11am each day:

  • Part 1: Monday, March 11
  • Part 2: Wednesday, March 13
  • Part 3: Monday, March 18

Start Time: D-Lab workshops start 10 minutes after the scheduled start time (“Berkeley Time”). We will admit all participants from the waiting room at that time.


In this 3 part workshop series, we will provide an introduction to spatial analyses in R. We discuss the benefits of the additional ‘location’ component that defines spatial data and how spatial dataframes organize this information. Using the sf (simple features) and terra packages, we'll navigate fundamental operations for reading, writing, manipulating, and visualizing spatial data.

Some of the key topics we'll cover include:

  • Understanding different types of spatial data (points, lines, polygons, raster)
  • Using appropriate coordinate reference systems Implementing classification schemes (equal intervals, quantiles and natural breaks) for improved data visualization
  • Conducting spatial measurement queries (distance from, intersections, buffers, and finding nearest features)
  • Employing visualization techniques (overlay plotting, interactive maps)
  • Performing combined vector-raster analysis (zonal statistics)

This workshop aims to equip participants with the fundamentals needed to conduct spatial analyses for their various endeavors.

Prerequisites: D-Lab’s R Fundamentals or equivalent knowledge; previous experience with base R is assumed and basic familiarity with the tidyverse.

Workshop Materials: https://github.com/dlab-berkeley/R-Geospatial-Fundamentals

Software Requirements: Requirements for R and RStudio

After completing the workshop, please provide us feedback using this form

Questions? Email: dlab-frontdesk@berkeley.edu