R Geospatial Fundamentals: Vector Data, Part 1 of 2

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