R Geospatial Fundamentals: Parts 1-3

REGISTRATION NOTES

After clicking the registration link for your desired workshop, be sure to use your @berkeley.edu or @lbl.gov email address in the Zoom registration box to ensure a seamless process. Additionally, when joining the workshop, participants need to be logged in with their institutional email address in Zoom to be granted admission. You may need to log out and log back in.

Location: Remote via Zoom. 

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 2pm-4pm each day:

• Part 1: Mon Oct 14
• Part 2: Wed Oct 16
• Part 3: Mon Oct 21

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.

Description

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.

• Part I: Core concepts, vector data, and plotting
  • Basic geospatial concepts
  • Basic vector data
  • Geospatial data structures (the sf package)
  • Basic plotting (base::plot and the ggplot3 package)
  • Managing coordinate reference systems (CRS)
  • Advanced plotting (the tmap package)
  • Map overlays
• Part II: Spatial analysis
  • Spatial measurement queries
  • Spatial relationship queries
  • Buffer analysis
  • Spatial and non-spatial joins
  • Aggregation
  • Continued mapping practice

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

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

Questions? Email: dlab-frontdesk@berkeley.edu