Italics indicate that laptops are required for lab activities.




  • September 7
    • DUE: Before class install the latest version of R, the latest version of RStudio, and these R Packages: forecast, ggplot2, lubridate, dplyr, scales, gridExtra, ggthemes, reshape2, zoo
    • Lab: Working with time series data in R
    • Download data for the lab
    • Optional Weecology video lecture: Dates/times
















  • Nov. 2
    • DUE: Read up on NEON Forecast Challenge
    • Decide as a group on next forecasting challenge. NEON?
    • Soren on Political forecasting






  • Nov. 23
    • DUE: Read Things to know… and this review.
    • Dani is working on Bayes time series code, Erika will make time series figures for the flu data, and I will make some decisions about forecast targets, and some others(?) are looking for COVID data proxies…
    • Here is a Google Drive folder containing data and code. Feel free to download and play with scripts, or add your own to the drive, just be careful about deleting things…

  • Nov. 25 NO CLASS (Thanksgiving)

  • Nov. 30
    • TO DO:
      • Michael: Hierarchical time series models
      • Soren: COVID covariate
      • Erika: compare seasonal components by region
      • Courtney: NAs?
      • Jack: Flu vaccination data?
      • Peter and Dani: Why are the Bayes time series models making bad forecasts?

  • Dec. 2

  • Dec. 7

  • December 9