Applied Spatio-Temporal Statistics

Course calendar

Week Tuesday Topics Thursday Topics
1 1/23 first day: what will this class be like?
2 1/28 data manipulation + viz. 1/30 Rlab: data manipulation + viz.
3 2/4 IRP: Henry (viz: animation);
static spatial data: discrete
2/6 static spatial data: discrete
4 2/11 IRP: Henry (malaria incidence in Namibia);
static spatial data: discrete
2/13 static spatial data: geostatistical
5 2/18 static spatial data: geostatistical 2/20 Rlab: geostatistical + geostatistical
6 2/25 IRP: _____ ;
static spatial data: point process
2/27 IRP: _____ ;
static spatial data: point process
7 3/3 static spatial data: point process 3/5 Rlab: point process
8 3/10 IRP: _____ ;
1D geostatistical
3/12 IRP: _____ ;
1D areal
9 3/17 IRP: _____ ;
3D geostatistical/areal;
begin looking for project data
3/19 IRP: _____ ;
1D point process
10 3/24 IRP: _____;
3D point process
3/26 Rlab: 1D + 3D
SB 4/2 no class 3/31 no class
11 4/7 IRP: _____ ;
spatio-temporal geospatial separable;
due: EDA selected dataset
4/9 IRP: _____ ;
spatio-temporal geospatial separable
12 4/14 IRP: _____ ;
geospatial non-separable;
due: proposed analysis, goals, division of duties
4/16 Rlab: spatio-temporal geospatial
13 4/21 IRP: _____;
SDEs;
project progress checkin meetings this week
4/23 SDEs;
project progress checkin meetings this week
14 4/28 IRP: _____;
SDEs
4/30 Rlab: SDEs/projects
15 5/5 presentations:
Group 1
Group 2
Group 3
5/7 presentations:
Group 4
Group 5
Group 6
16 5/12 no class;
due: final project reports (12:30pm)