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Instructors:
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Professor Noel Cressie
Office: 408B Cockins Hall
Phone: 614-688-0072
Email: ncressie@stat.osu.edu
Office hours: TR 11:30-12:30pm
Professor Desheng Liu
Office: 1189 Derby Hall
Phone: 614-247-2775
Email: liu.738@osu.edu
Office hours: TR 2:30-3:30pm
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Prerequisite:
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STAT 645, or GEOG 883.02, or permission of instructor
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Lectures:
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Tuesday, Thursday, 10:00 - 11:18 a.m
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Location:
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Cockins Hall, CH 0312 (see a
Map).
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Teaching Assistant:
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Name: Aritra Sengupta
Office: 454 Maths Building
Email: aritra@stat.osu.edu
Office Hours: MW 9:30-10:30 a.m.
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Assessment:
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| Homework | | 35% |
| Midterm exam | | 30% |
| Final Project | | 35% |
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Grades:
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Letter grades will be given
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Enrollment Policy:
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Only students enrolled for credit will be permitted in the class
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Text Book:
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Lance A. Waller, and Carol A. Gotway (2004).
Applied Spatial Statistics for Public Health Data.
Wiley, New York
ISBN-10: 0471387711
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Reference Book:
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Roger S. Bivand, Edzer J. Pebesma, and V. Gómez-Rubio (2008).
Applied Spatial Data Analysis with R. Springer
ISBN: 978-0-387-78170-9.
Online accessible with an OSU IP address.
For online access click
here
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Course Description:
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This course provides an introduction to spatial statistical methods. Geostatistical data, regional data, and spatial point patterns are studied
using the viewpoint that these are realizations from random processes. Among the topics considered are spatial covariance functions, variograms,
kriging, spatial (simultaneous and conditional) autoregressive models, intensity function, K function, and cluster statistics. Properties of these
quantities and their inference under frequentist and Bayesian paradigms will be discussed. Applications will be used to illustrate the methodologies.
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Topics:
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Introduction
Spatial Random Process
Geostatistical data and covariance functions
Variograms
General linear model
Interpolation and spatial prediction
Kriging
Geostatistical simulation
Regional data
Analysis of counts and rates
Spatial (simulataneous and conditional) autoregressive models
Spatial point patterns
Intensity function and K function
Cluster statistics
Hierarchical spatial statistical models
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Group Studies:
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Stat 694 is a generic number for "group studies" courses. Often a
new course in Statistics runs one or two times as Stat 694 before it
gets an official number. "Introduction to Spatial Statistics" will
be offered in Spring 2009 as Stat 694, with the intention that it
will get an official number the next time it is offered.
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Academic Misconduct:
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It is the responsibility of the Committee on Academic Misconduct to investigate or establish procedures for the investigation of all
reported cases of student academic misconduct. The term “academic misconduct” includes all forms of student academic misconduct wherever committed;
illustrated by, but not limited to, cases of plagiarism and dishonest practices in connection with examinations. Instructors shall report all instances of alleged
academic misconduct to the committee (Faculty Rule 3335-5-487). For additional information, see the Code of Student Conduct .
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Students with Disabilities:
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Students with disabilities that have been certified by the Office for Disability Services will be appropriately accommodated, and should inform the instructor as soon as possible of their needs.
The Office for Disability Services is located in:
150 Pomerene Hall
1760 Neil Avenue
telephone 292-3307
TDD 292-0901
http://www.ods.ohio-state.edu/.
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