Applied Spatio-temporal Statistics
Preface
1
Day 1 (January 20)
1.1
Welcome
1.2
Course pre-assessment
1.3
Course format
1.4
Reading
1.5
Opening example: Human movement
2
Day 2 (January 22)
2.1
Announcements
2.2
Opening example: Human movement
2.3
Statistical models
3
Day 3 (January 27)
3.1
Announcements
3.2
Statistical models
3.3
Matrix review
4
Day 4 (January 29)
4.1
Announcements
4.2
Distribution theory review
5
Day 5 (February 3)
5.1
Announcements
5.2
Distribution theory review
6
Day 6 (February 5)
6.1
Announcements
6.2
Distribution theory review
6.3
Mathematical model review
6.4
Summary of statistical models
6.4.1
Motivating data example
7
Day 7 (February 10)
7.1
Announcements
7.1.1
Motivating data example
7.2
Hierarchical models
8
Day 8 (February 12)
8.1
Announcements
8.2
Hierarchical models
9
Day 9 (February 17)
9.1
Announcements
9.2
Hierarchical models
10
Day 10 (February 19)
10.1
Announcements
10.2
Hierarchical models
10.3
Review and future direction
10.4
Extreme precipitation in Kansas
11
Day 11 (February 24)
11.1
Announcements
11.2
Extreme precipitation in Kansas
11.3
Intro to GIS
11.3.1
Shapefiles
11.3.2
Raster
11.3.3
Points
11.3.4
Summary
12
Day 12 (February 26)
12.1
Announcements
12.2
Extreme precipitation in Kansas
12.2.1
Multivariate normal distribution
12.3
Linear models for correlated errors
13
Day 13 (March 3)
13.1
Announcements
13.2
Extreme precipitation in Kansas
13.3
Linear models for correlated errors
13.4
Extreme precipitation in Kansas
14
Day 14 (March 5)
14.1
Announcements
15
Day 15 (March 10)
15.1
Announcements
15.2
Extreme precipitation in Kansas
15.3
Spatio-temporal models for disease data
16
Day 16 (March 12)
16.1
Announcements
16.2
Spatio-temporal models for disease data
17
Day 17 (March 24)
17.1
Announcements
18
Day 18 (March 26)
18.1
Announcements
18.2
Spatio-temporal models for disease data
18.3
Earthquake data
18.4
Spatio-temporal models for earthquake data
19
Day 19 (March 31)
19.1
Announcements
19.2
Spatio-temporal models for disease data
19.3
Earthquake data
19.4
Spatio-temporal models for earthquake data
20
Day 20 (April 2)
20.1
Announcements
21
Activity 1
22
Activity 2
23
Activity 3
24
Calendar
25
Final project
25.1
Assignment
25.2
Things to consider
25.3
Grading Rubric
25.4
Examples of projects from past classes
26
Peer review
27
Syllabus
Published with bookdown
Applied Spatio-temporal Statistics
14
Day 14 (March 5)
14.1
Announcements
In class workday