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.
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 runs from 2pm-5pm on Tuesday, April 12.
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 data structures (the raster package)
Mapping with raster and vector data
Spatial analysis of raster and vector data
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
Questions? Email: firstname.lastname@example.org