Friday June 20, 2025
1:30 - 4:30 PM
Karl Miller Center, 615 SW Harrison Street, Portland, OR
Room KMC 180
The usage of R in GIS is growing because of its enhanced capabilities for statistics, data visualization, and spatial analytics. In this workshop, you will learn some basics of working with geospatial data and producing maps in R. Topics will include using sf and terra to work with vector and raster data, respectively. You will practice visualizing geospatial data using base plotting functions, ggplot2, and leaflet.
Knowledge Prerequisites: Though not required, it would be beneficial to know some basics of using dplyr and ggplot2.
Pre-Installations: dplyr, ggplot2, patchwork, viridis, knitr, terra, sf, leaflet, usaboundaries, and httr
install.packages(c("dplyr","ggplot2","patchwork","viridis","knitr",
"terra","sf","leaflet","httr"),
Ncpus = 3)
install.packages("remotes")
remotes::install_github("ropensci/USAboundaries")
remotes::install_github("ropensci/USAboundariesData")
Instructors
Brittany Barker
Pronouns: She/her/hers
Location: Portland, Oregon
Brittany Barker is an Assistant Professor (Senior Research) at the Oregon IPM Center at Oregon State University. She uses R to develop ecological models that can provide decision-support for managing and monitoring pests, their crop hosts, and their natural enemies. Over the past five years, she has transitioned from ArcGIS to R for nearly all GIS and mapping operations. She loves nature, running, native plants, wildlife, and sci-fi and horror books.