R Geospatial Fundamentals: Raster Data

March 16, 2022, 10:00am to 1:00pm

Trying to register, but not affiliated with the UCB campus? If you are from Berkeley Lab (LBL), UCSF, or CZ Biohub, please register via our partner portals here.

If you are from the UCB campus there's no more waitlist! But after registering above, please do fill out the affiliations form if you have not done so at least once before: https://dlab.berkeley.edu/affiliations

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

Date & Time: This workshop runs from 10am-1pm on Wednesday, March 16

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.


Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The R programming language is a great platform for exploring these data and integrating them into your research. This workshop focuses on fundamental operations for reading, writing, manipulating and mapping vector data, which encodes location as points, lines and polygons.

  • Raster data
    • Raster concepts

    • Raster data structures (the raster package)

    • Mapping with raster and vector data

    • Spatial analysis of raster and vector data

    • Raster reclassification

    • Raster stacks and raster algebra

Prerequisites: Recommended (but not required) to take the 2-part vector-based version of D-Lab’s R Geospatial Fundamentals: Vector Data

  • Part I: Core concepts, vector data, and plotting
  • Part II: Spatial analysis
  • Part III: Raster data

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