This semester the university has distributed the days normally reserved for spring break into several Rest and Recovery (R&R) days (see Calendar). To ensure that these days provide a genuine opportunity for rest and recovery, no meetings or assignments will take place on those days, and no assignments will be due on days following R&R days.
| reading | homework | individual research project | final project |
| Week | Tuesday | Topics | Thursday | Topics |
|---|---|---|---|---|
| 1 | 1/21 | What will this class be like? What are spatio-temporal data? | ||
| 2 | 1/26 | Chapter 1 of Statistics for Spatial Data by Noel Cressie data manipulation + visualization |
1/28 | ASDAR: Ch. 3.1, 3.2, 4.1 and familiarize yourself with Ch. 2 Rlab 1: data manipulation + visualization (due: 2/5 11:59pm) |
| 3 | 2/2 | ggmap READMEdo a quick internet search for other ggmap intros IRP: Henry (viz: animation) Gaussian processes |
2/4 | ASDAR: 8.1–8.4 spatial data: continuous index |
| 4 | 2/9 | ASDAR: 8.5–8.5.2, 8.6 IRP: Henry (malaria incidence in Namibia) Guest lecture: Tim Assal on wildfire burn severity in Chile spatial data: continuous index |
2/11 | ASDAR: 8.7 spatial data: continuous index R&R Day: 2/12 |
| 5 | 2/16 | An online intro to GAMs spatial data: generalized additive models (GAMs) |
2/18 | Section 2 of Burn severity controls on postfire Araucaria‐Nothofagus… Rlab 2: continuous, fixed spatial index (due: 2/26 11:59pm) |
| 6 | 2/23 | ASDAR: 9.1 Guest lecture: Trevor Hefley on Areal data through aggregation and censoring spatial data: discrete index |
2/25 | ASDAR 9.2 (asynchronous) spatial data: discrete index |
| 7 | 3/2 | ASDAR 9.4, skip 9.4.2 spatial data: discrete index due: wave 1 IRPs |
3/4 | ASDAR 4.2 Rlab 3: discrete, fixed spatial index (due: 3/12 11:59pm) R&R Day: 3/8 |
| 8 | 3/9 | ASDAR: Part II–7.4.2 (p. 169-184) (asynchronous) spatial data: point process due: wave 1 reviews |
3/11 | ASDAR: 7.4.3–7.4.5 Guest lecture: Mason Quick on lightning spatial data: point process |
| 9 | 3/16 | ASDAR: 7.5–7.5.3 spatial data: point process due: wave 2 IRPs begin looking for project data |
3/18 | spend time looking for Group Project dataset Rlab 4: random spatial index (point process) (due: 3/26 11:59pm) |
| 10 | 3/23 | (REVIEW) ASDAR: 7.5–7.5.3 due: wave 2 reviews spatial data: non-Gaussian responses |
3/25 | NY Times on the Squirrel Census spatial data: non-Gaussian responses |
| 11 | 3/30 | no class R&R Days: 3/30–3/31 (Cesar Chavez Day) |
4/1 | Wikipedia article on the Beta distribution: top-1.2; 2.2.1 spatial data: non-Gaussian responses due: 4/2 11:59pm EDA selected dataset |
| 12 | 4/6 | Giving a Talk by Daniel Larremore Rlab 5: non-Gaussian spatial data (due: 4/14 11:59pm) due: wave 3 IRPs |
4/8 | ASDAR Ch. 6 spatio-temporal: working with data, visualization 15 minutes for group projects |
| 13 | 4/13 | Spatio-temporal interpolation using gstatspatio-temporal: variograms, covariance functions 15 minutes for group projects due: proposal |
4/15 | no class R&R Day: 4/15 |
| 14 | 4/20 | STSR p. 1–10; 14–15; 137–147 spatio-temporal: GAMs, non-Gaussian responses due: wave 3 reviews project check-in meetings this week |
4/22 | STSR p. 154-167 Rlab 6: spatio-temporal data (due: 4/30 11:59pm) project check-in meetings this week |
| 15 | 4/27 | spatio-temporal: animal movement 15 minutes for group projects |
4/29 | spatio-temporal: prototype methods 15 minutes for group projects |
| 16 | 5/4 | In-class time for group projects | 5/6 | presentations: Group A Group B Group C |
| 17 | 5/11 | presentations: Group D Group E due: final project reports (11:59pm) |