NTRES 670 – Spatial Statistics
Spring 3 credits

Lecture: MWF 10:10 - 11:00 Fernow 210
   
Instructor: Patrick J. Sullivan
  214 Fernow
  255-8213
  pjs31@cornell.edu
   
Office Hours: After class or by appointment.
   
Textbooks: Kaluzny, Vega, Cardoso, Shelly, 1998, S+ Spatial Stats
   
   
   
Optional Reference: Cressie, 1993, Statistics for Spatial Data, Revised Edition

Diggle, 2003, Statistical Analysis of Spatial Point Patterns

Kitanidis, 1997, Introduction to Geostatistics

 

Webactive Syllabus

 

 


Lecture

Date

Day

Topic

Readings

What’s due?

1

Jan 21

M

 

Introduction/Overview

Kaluzny 1, 2

 

2

Jan 23

W

 

Review Statistical Concepts

Linear Model Handout

 

3

Jan 25

F

 

Introduction to Splus and Spatial Stats

 

4

Jan 28

M

 

Visualizing Spatial Data 1

Kaluzny 3 Kitanidis 1 

 

5

Jan 30

W

 

Visualizing Spatial Data 2

Kitanidis 2

 

6

Feb 01

F

 

Spatial Regression (GLM)

HW1 / Project Ideas

7

Feb 04

M

 

Spatial Regression (GAM)

 

8

Feb 06

W

 

Introduction to Geostatistics

Kaluzny 4 Kitanidis 3

 

9

Feb 08

F

 

Trend vs. Covariation

HW2

10

Feb 11

M

 

Variogram Model, Simple Simulation

Kitanidis 4 

 

 

Feb 13

W

 

Variogram Estimation

Kitanidis 5

 

11

Feb 15

F

 

Valid Models

Kaluzny 4.3

 HW3 / Proposal 1

12

Feb 18

M

 

Model Fitting

 

13

Feb 20

W

 

Simple and Ordinary Kriging

 

14

Feb 22

F

 

Universal Kriging

Kitanidis 6,7  

HW4

15

Feb 25

M

 

Cokriging

Kitanidis 8  

 

16

Feb 27

W

 

Geostatistical Simulation

 

17

Feb 29

F

 

Design, Spatial Prediction

HW5/Proposal 2

18

Mar 03

M

 

Groundwater Example

 

19

Mar 05

W

 

Introduction to Lattice Analysis

Kaluzny 5

 

 

Mar 07

F

 

Sudden Infant Death Syndrome Data

HW6

20

Mar 10

M

 

Conditional and Simultaneous Models

 

 

21

Mar 12

W

 

Markov Random Fields

 

 

22

Mar 14

F

 

SIDS Analysis

 

 HW7/Literature Review

     

Spring Break March 17-21

 

   

23

Mar 24

M

 

CAR SIDS Analysis  

 

24

Mar 26

W

 

CAR Simulation  

 

25

Mar 28

F

Wavelet I: Introduction  

HW8

26

Mar 31

M

 

Wavelet II: Basis Functions

Diggle 1,2

 

27

Apr 02

W

 

Wavelet III: Image Analysis

Diggle 3

 

28

Apr 04

F

Spatial Point Processes

HW9/Methods

29

Apr 07

M

 

Spatial Point Processes

Kaluzny 6 

 

30

Apr 09

W

 

Ripley’s K

Diggle 4

 

31

Apr 11

F

Model Fitting

HW10

32

Apr 14

M

 

Marked Spatial Point Processes  

 

33

Apr 16

W

 

Spatial Risk  

 

34

Apr 18

F

Spatial Point Processes

 

Papers Due

35

Apr 21

M

 

Project Presentations

 

 

36

Apr 23

W

 

Project Presentations

 

 

 

37

Apr 25

F

Project Presentations

 

 

 

38

Apr 28

M

 

Project Presentations

 

 

39

Apr 30

W

 

Project Presentations

 

 

40

May 01

F

Project Presentations

 

 

Homeworks: Handed out on Friday due back the following Friday.
Grade: Homeworks 1/3, Paper Prelims 1/6, Paper 1/3, Final Presentation 1/6