GEOG 474: Quantitative Methods in Geography, Fall 2004Syllabus and Exercise Outline 
Contact the Course Instructor:
Instructor 
Office 
Electronic Mail 
Phone 
Office Hours 
Dr. Rob Hellström 
301, Conant Science 
(508) 5312842 
MWR 11 AM12; or by appointment 
Course Prerequisites:
MA110 Elementary Statistics or equivalent course with consent of instructor. Attention to detail and persistence are valuable traits for success. 
Course Structure:
Meeting 
Call # 
Day, Time 
Place 
Lecture 
90966 
T & R 1:402:55 PM 
#208 Science Bldg. 
Required Textbook and Workbook:
This text contains reading material, charts, tables and diagrams necessary to complete this course. The workbook contains data, figures and maps that you will use to complete your exercises. Both are available at the Bridgewater State College bookstore:

Helpful Resources:
These text resources are not required, but may be helpful (some available from Instructor, others should be in the Library):

Guides to software that you may find useful:
· SPSS (Statistical Package for the Social Sciences), User’s guide, Evolution Computing, Inc., 1999, 358 pp. (see Instructor) · Microsoft Excel (or other spreadsheet)

Course Objectives:
Course description Geographers use statistical techniques to measure, describe, classify, analyze and display information (data) in search of spatial patterns and trends. Geographers make comparisons and examine relationships to answer questions, solve problems and make wise decisions that support a particular objective. This course introduces and applies statistical techniques, and computer and model building methodology to analyze various spatial phenomena.
During this course you will learn about: a. The nature of inquiry; b. the value of communicating ideas with numbers and graphics; c. standard techniques of data collection and measurement; d. methods of classifying observable and measurable variables; e. techniques of summarizing and describing data; and f. techniques of using sampling and statistical testing to make inference and estimates of large data sets. After completing this course you will be able to: 1. Select appropriate quantitative methods to describe, explain, and predict spatially distributed variables and data; 2. describe how to classify variables and types of data to examine spatial patterns and trends; 3. use basic descriptive and inferential statistical methods; and 4. create and use large data sets and statistical techniques to describe and explain various human and physical associations. The Blackboard (http://plato.bridgew.edu/) online course system at Bridgewater State College will provide much of the material and electronic methods of communicating in this course. You will need access to a computer with and Internet Browser connection (Internet Explorer or Netscape) and the Microsoft Office sweet (PowerPoint, Word, and Excel) to effectively use the GE474 Blackboard site. You will receive instructions for accessing the GE474 Blackboard site during the first class meeting. This site will provide weekly announcements, a venue for email contact with fellow students, lecture outlines, solutions to selected workbook problems and exam study materials. You may print out lecture outlines from this site prior to class meetings. On average, the instructor will devote about half the class time to lecture; the remainder will be for you to work on independent tasks and one term project (see next page for details). 
Grading:
Your final grade is based on three (3) written examinations, all open book and open notes, one (1) term project and numerous weekly semiindependent exercises, of which only the best 10 will count toward your grade. Examinations contain multiple choice, short answer/analysis, and extended skills questions; information is taken from textbook and workbook material covered in the lecture and exercise outline. No makeup exams, except under extreme circumstances; you must notify instructor prior to the exam date. · Exam I (10%): Thursday, October 7^{th}, 1:402:55 pm. · Exam II (10%): Thursday, November 4^{th}, 1:402:55 pm; covers material since Exam I · Final Exam (10%): Thursday, December 16^{th}, 2:004:00 pm; covers material since Exam II · Term Project (20%): Each of you will most likely at some point collect, manage and report conclusions about a collection of data. This term project, including a 10minute oral presentation (10% of grade) and written paper (10% of grade), will help you practice the skills necessary for success in this class. · You have two options of obtaining data: select a topic and option by September 23^{rd} 1) Observe and record something on a regular schedule 2) Obtain a data set from another source
1) Search for a data set or start collecting data; 2) explore and describe the nature of the data (basic library/Internet/interview research); 3) conduct appropriate statistical analysis for the data; and 4) write a 1015 page (doublespaced including figures and tables) report that discusses your question and hypothesis, data collection methods, spatial association or trends over time, and other important attributes. This report must not be written in 1^{st} person (ask the instructor for examples of research papers). · “Independent” Exercises (40%): You will practice the basic techniques of quantitative geography by completing weekly exercises out of your workbook (following 40 or so minutes of lecture). Exercises are given in the far right column of the Lecture and Exercise Outline. The instructor will provide details about the problems to do at the end of lectures. Important: The instructor will collect and grade your progress in your workbooks three (3) times during the semester. You will be notified one (1) week prior to each date of workbook collection. Please, put your name inside your workbook. 
· Attendance and participation (10 %): Use the last 2030 minutes of each class to work. 
You are highly encouraged to attend all class meetings as scheduled in the course Outline. Role will be called periodically, as required by the school. If you cannot attend a particular class, please contact the instructor prior to that class period, so that you can obtain necessary materials. 
· You must have a simple scientific calculator (a complicated one, if you know how to use it) · You should have a 3.5” floppy diskette or CDRW disk to store your project on 
1) Attend all class sessions
2) As you listen to lectures, raise you hand immediately if you do not follow the logic or math
3) Pay attention to the details, especially the statistical equations and procedures for solving problems
4) Form a study group, share email addresses for communication, share ideas for solving problems, but make sure you can do it on your own [the instructor can set up a group communication site for you on Blackboard; please contact the instructor if you are interested]
5) Force yourself to set aside a halfhour or an hour to review your notes after each lecture
Special needs:
Any student eligible for and needing academic adjustments or accommodations because of a disability is requested to speak with the professor within the first two weeks of scheduled classes. At any time during the semester, feel free to contact the Office of Disability Resources in the Academic Achievement Center, located in the basement of the Maxwell Library 001 (508) 5311214. “In compliance with Bridgewater State College policy and equal access legislation, I am available to discuss appropriate accommodations that you may require as a student with a disability. Requests for academic accommodations should be made during the add/drop period, unless there are unusual circumstances, so that appropriate arrangements can be made. Students are encouraged to register with the Disability Resources Office in the Maxwell Library for disability verification and determination of reasonable academic accommodations.” 
Geography 474: Quantitative Methods in GeographyLecture and Exercise Outline (tentative material, but Exams are set) 

Lec. 
Day 
Date 
Topic 
Readings and Workbook Exercises 
1 
R 
Sep. 9^{th} 
Introduction + Blackboard 
Ch. 1 & 16 
2 
T 
14^{th} 
Geographic Data 
Ch. 2 & 110 
3 
R 
16^{th} 
Descriptive Statistics 
Ch. 3 & 17 
4 
T 
21^{st} 
Descriptive Spatial Statistics 
Ch. 4 & Part I 
5 
R 
23^{rd} 
Probability: Basic Terms and Concepts 
Ch. 5 & Part I (Topic and data source for Term Project due) 
6 
T 
28^{th} 
Probability: Binomial and Poisson Distributions 
Ch. 5 & Part II & Part III 
7 
R 
30^{th} 
Probability: Normal Distributions & Mapping 
Ch. 5 & Parts IV & V 

T 
Oct. 5^{th} 
Review for Exam I 
Think of questions 

R 
7^{th} 
Exam I 
Material through Sep. 30^{th} 
8 
T 
12^{th} 
Basic Elements of Sampling 
Ch. 6 & Part I 
9 
R 
14^{th} 
Spatial Sampling 
Ch. 6 & Part II 
10 
T 
19^{th} 
Central Limit Theorem and Confidence Intervals 
Ch. 7 & Part I 
11 
R 
21^{st} 
Random, Systematic and Stratified Sampling Techniques 
Ch. 7 & Part II 
12 
T 
26^{th} 
Elements of Inferential Statistics I 
Ch. 8 & Part I 
13 
R 
28^{th} 
Elements of Inferential Statistics II 
Ch. 8 & Part II 

T 
Nov. 2^{nd} 
Review for Exam II 
Think of questions 

R 
4^{th} 
Exam II 
Material since Exam I 
14 
T 
9^{th} 
TwoSample Tests 
Ch 9 & Parts I & III 
15 
W 
10^{th} 
Three or More Sample Tests: Anova 
Ch. 10 & 14 

R 
11^{th} 
NO CLASS: Veterans Day 
 
16 
T 
16^{th} 
Goodnessoffit Tests 
Ch. 11 & Parts I & II 
17 
R 
18^{th} 
Inferential Spatial Statistics I 
Ch. 12 & Part I 
18 
T 
23^{rd} 
Inferential Spatial Statistics II 
Ch. 12 & Parts II & III (draft of term paper due) 

R 
25^{th} 
NO CLASS: Thanksgiving Recess 
Happy Thanksgiving! 
19 
T 
30^{th} 
Correlation 
Ch. 13 & Part III 
20 
R 
Dec. 2^{nd} 
Regression 
Ch. 14 & 16 

T 
7^{th} 
10 minute presentation of term projects 
Prepare short oral presentation 

R 
9^{th} 
10 minute presentation of Term Projects 
Prepare short oral presentation 

T 
14^{th} 
Review for Final Exam 
Questions (final term paper due) 

R 
16^{th} 
Final Exam (2:00 – 4:00 pm) 
Covers material since Exam II 