AE 08: Visualizng spatial data

Looking at North Carolina

Announcements

• HW 01 due TODAY at 11:59p

• HW 02 due Wednesday, September 20 at 11:59p

  • focus on data wrangling & working with multiple data frames
  • Repos released later today

• Ed Discussion board for today’s lecture: https://edstem.org/us/courses/8027/discussion/613186

• Week 05 prepare

  • Prep Quiz 02 due Monday, September 20 at 1:45p

Questions about HW 01 or prepare assignment?

Which visualization do you prefer?

Below are two maps showing the cumulative confirmed COVID-19 cases as of August 30, 2020. The maps are snapshots of the interactive visualization on www.sharedgeo.org/COVID-19.

If you’re doing an analysis to understand COVID spread in the US, which map do you prefer? Why? Place your vote and reasoning on Ed Discussion: https://edstem.org/us/courses/8027/discussion/613213

Map A: Number of COVID-19 cumulative confirmed cases

Map B: Number of COVID-19 cumulative confirmed cases (per 100,000)

AE 08: Visualizing spatial data - North Carolina

Clone the repo + start a new project

• Go to the ae-08-[GITHUB USERNAME] rep in the GitHub course organization: https://github.com/sta199-fa21-003

• Access the RStudio Docker containers at https://vm-manage.oit.duke.edu/containers

• See the Lab 01 instructions for details on cloning the repo and starting a new project in RStudio.