| Reading | Homework/Rlab | Individual Research Project (IRP) | Final Project |
| Week | Tuesday | Topics | Thursday | Topics |
|---|---|---|---|---|
| 1 | 01/17 | 01/19 | What will this class be like? What are spatio-temporal data? |
|
| 2 | 01/24 | SDS Ch. 1, 10.2 data manipulation + visualization |
01/26 | SDS Ch. 2,
3 (asynchronous video) Rmakrdown and submitting Rlabs Rlab 1: data manipulation + visualization (due: 2/3 11:59pm) |
| 3 | 01/31 | SDS Ch. 8 IRP: Demo 1 spatial data: continuous index |
02/02 | SDS 10.2,
12–12.3 IRP: Demo 2 Gaussian processes (shinyapp) spatial data: continuous index |
| 4 | 02/07 | SDS 12.4–12.5 spatial data: continuous index |
02/09 | SDS 12.6–12.7 spatial data: continuous index Guest lecture: Tim Assal on wildfire burn severity in Chile |
| 5 | 02/14 | An online intro to GAMs, SDS 10.5 spatial data: generalized additive models (GAMs) |
02/16 | Section 2 of
Burn severity controls on postfire
Araucaria‐Nothofagus… Rlab 2: continuous, fixed spatial index (due: 2/24 11:59pm) |
| 6 | 02/21 | SDS 14-14.6 spatial data: discrete index |
02/23 | SDS 15-15.1 and
Simultaneous autoregressive (SAR)
model spatial data: discrete index |
| 7 | 02/28 | SDS Ch. 16–‘IID and CAR random
effects with hglm’ spatial data: discrete index ‘Guest’ lecture: Dr. Scharf due: wave 1 IRPs |
03/02 | 2. Reading, Writing and Converting Simple
Features vignette from sf
github pageRlab 3: discrete, fixed spatial index (due: 3/10 11:59pm) |
| 8 | 03/07 | ASDAR: 7–7.4.2 (p. 173-184) spatial data: point process due: wave 1 reviews |
03/09 | ASDAR: 7.4.3–7.4.5 (p. 184–192) spatial data: point process |
| 9 | 03/14 | ASDAR: 7.5–7.5.3 (p. 192–202) Guest lecture: TBD due: wave 2 IRPs |
03/16 | spend time looking for Group
Project dataset Rlab 4: Random spatial index (point process) (due: 3/24 11:59pm) |
| 10 | 03/21 | Henry sick :( due: wave 2 reviews |
03/23 | Henry sick :( |
| 11 | 03/28 | spring break | 03/30 | spring break |
| 12 | 04/04 | (REVIEW) ASDAR:
7.5–7.5.3 spatial data: non-Gaussian responses Exploration (due: 4/5 11:59pm) |
04/06 | NY Times on the Squirrel Census spatial data: non-Gaussian responses due: wave 3 IRPs [15 minutes for Group Projects] |
| 13 | 04/11 | Wikipedia article on the Beta distribution: top-1.2;
2.2.1 spatial data: non-Gaussian responses Proposal (due: 4/12 11:59pm) [15 minutes for Group Projects] |
04/13 | SDS Ch. 7.4–Example:
Bristol origin-destination datacube checkin meetings (due: 4/13–4/17) Rlab 5: non-Gaussian spatial data (due: 4/21 11:59pm) |
| 14 | 04/18 | Intro to
sftimespatio-temporal: working with data, visualization, basic analyses due: wave 3 reviews [15 minutes for Group Projects] |
04/20 | STSR
p. 1–10; 14–15; 137–147 spatio-temporal: variograms, covariance functions [15 minutes for Group Projects] |
| 15 | 04/25 | STSR
p. 154-167 spatio-temporal: GAMs, non-Gaussian responses [15 minutes for Group Projects] |
04/27 | Daniel Larremore
Workshop #4: Giving a
Talk Golden Donuts End of semester course survey Rlab 6: spatio-temporal data (ungraded) |
| 16 | 05/02 | presentations: Group A Group B Group C |
05/04 | presentations: Group D Group E Group F |
| 17 | 05/09 | due: final project reports (5/9 11:59pm) | 05/11 | no final |