GEOG 204 – Spatial Analysis
Section
001, 4 Credits
Spring
2015
Instructor: Dr.
Arthur J. Lembo, Jr.
Office: Henson Hall 157H
Office Hours: M,W,F 9:0011:00am; (also by appointment)
Phone: 4106770140
Email: ajlembo@salisbury.edu
Class Meetings: MWF 11 – 11:50 a.m., F 12 – 1:40 p.m.; Henson Hall 153
Text:
Introduction to
Statistical Problem Solving in Geography,
3rd Edition, Waveland Press. McGrew,
Lembo, Monroe. (available at bookstore, Amazon.com,
Waveland.com, and BarnesandNoble.com).
Workbook: Workbook for Statistical
Problem Solving in Geography. Lembo.
(available through lulu.com, createspace.com, and
Amazon.com – see Professor for coupon code before ordering).
Course Description: This course will introduce the basics of statistics and
their applications in geographic research. You will be exposed to both
descriptive and inferential statistics, with an emphasis on geographic
applications. This course focuses on statistical analysis and spatial
statistics, since these methods are crucial to anyone having to deal with
spatiallyoriented problems. Applications from both human and physical
geography will be used for inclass examples and outofclass exercises.
In class, problems will be presented and output interpreted using Minitab
statistical software or Excel, but you may use any software system you
wish. After finishing this class, students are expected to be able to
know how to collect data, choose the appropriate statistical techniques and
analyze the data according to their research questions.
Exams: This course has a total of three exams during the semester
as well as a final exam. Each exam is worth 60 points and the final exam
is worth 120 points (a total of 300 points for all
exams). Each exam will be administered as scheduled. All exams
count for a portion of the final grade; none can be dropped. Very few if
any numerical calculations are required in the exams. Questions are a mix of objective (multiple
choice, matching, fill in, simple graphics) and essays. Questions
involve: (1) basic knowledge of the characteristics and factual information
associated with a statistical technique or concept; (2) understanding and
interpretation of the purposes and objectives of a technique; (3) explanation
of why a technique is important, and the limitations of the technique; (4)
creative identification of geographic problems that can be solved by a
technique; and (5) the ability to decide which statistical technique is most
appropriate, when presented with a geographic data set of a research
problem.
There are also 2 Lab
Practicum Exams each worth 50 points (a total of 100 points). The practicum exams
will be open book and require the use of a computer to perform the calculations.
Makeup Exams: Any student missing an exam must supply the instructor with
a written excuse. It is the student’s responsibility to
inform the instructor of the missed exam within one class day after
the original exam is given in order to schedule a makeup exam. Anyone
failing to comply with this policy will receive a zero for the missed exam.
Exercises: This course has a total of 10 exercises
worth 10 points each (a total of 100 points for all
exercises). The exercises are designed to reinforce the lecture and
should be completed during the lab time.
Students will submit their workbook at the end of lab to be
checked. If an exercise is turned in
late, the penalty is 5 points per school day late. Additional
decisions to alter exercise assignments or points may have to be made during
the semester as conditions warrant, and the instructor reserves the right to
make these decisions.
Grades: This course has a total of 500 points. Each
student’s grade for this course will be determined by a percentage
based on the total points accumulated by that individual, divided by the total
number of points possible (500). Letter grades will be assigned as
follows:
Letter Grade 
Percentage of Points 
Total Points 
A 
90.00 – 100% 
450 – 500 
B 
80.00 – 89.99% 
400 – 449 
C 
70.00 – 79.99% 
350 – 399 
D 
60.00 – 69.99% 
300 – 349 
F 
0.00 – 59.99% 
Below 300 
Attendance: Attending class is
important. Coming to class, paying attention and taking notes is the best
way to learn the course material. Most lectures will come from the
textbook, but some material will only be presented in class.
****** PLEASE NOTE SCHOOL POLICY FOR THE H1N1 VIRUS *******
Classroom Environment: Students are expected to contribute to an environment appropriate
for learning that considers and respects the needs and rights of others.
Any academic misconduct will be confronted and handled accordingly. Please
silence all electronic devices while in class. Do not arrive late and
do not leave early – the door will be closed at 11:05. Please
note, if you miss lecture on Friday, you will not be allowed to attend the lab.
Academic Integrity: Cheating, plagiarism and other forms
of academic dishonesty will not be tolerated in this course. Students
should pay special attention to the expectations discussed in the 20052006
Student Handbook and 20052007 University Catalog. Violating these
rules will result in significant grade penalties up to and including a failing
grade for the course. Extreme cases of academic misconduct can result in
expulsion from the University.
Writing Across the Curriculum: All writing assignments, both formal
and informal, are in support of Salisbury University’s Writing Across the Curriculum Program.
Important University Dates for Spring
Last day to drop/add – January 30
Last day to withdraw
from course to receive a “W” – April 3
Changes to Syllabus: This syllabus may be modified or changed by the
instructor as necessary. Students will be notified of the changes in class.
Approximate Schedule –
Spatial Analysis – Spring 2015
Week 
Date 
Topic 
Exercises 
1 



Ch. 1 
Monday, January 26, 2014 
An
introduction to spatial analysis. Role of Statistics in
Geography. Examples of Statistical Problem 

Ch. 2 
Wednesday, January 28,
2014 
The Context of statistical techniques. Geographic Data: Characteristics and
Preparation 


Friday, January 30, 2014 
Geographic Data: Characteristics and Preparation 
Exercise 1:
chapters 1 and 2 
2 



Ch. 3 
Monday, February 02, 2014 
Descriptive Statistics and Graphics: Central tendency,
Dispersion and Variability. 


Wednesday, February 04,
2014 
Descriptive Statistics and Graphics: Shape or relative position. 


Friday, February 06, 2014 
Spatial Data and Descriptive Statistics 
Exercise 2: chapter 3 
3 



Ch. 4 
Monday, February 09, 2014 
Descriptive Spatial Statistics 

Ch. 5 
Wednesday, February 11,
2014 
Basic Probability and Discreet Probability Distributions 

Ch. 5 
Friday, February 13, 2014 
Basic Probability and Discreet Probability Distributions 
Exercise 3: Chapters 4 and 5 
4 



Ch. 6 
Monday, February 16, 2014 
Continuous Probability Distributions 

Ch. 6 
Wednesday, February 18,
2014 
Continuous Probability Distributions and exam review 


Friday, February 20, 2014 
Exam 1 chapters 1  5 

5 



Ch. 6 
Monday, February 23, 2014 
Continuous Probability Distributions 

Ch. 7 
Wednesday, February 25,
2014 
Basic Element of Sampling 


Friday, February 27, 2014 
Basic Element of Sampling 
Exercise 4: chapters 6 and 7 
6 



Ch. 8 
Monday, March 02, 2014 
Estimation in Sampling 

Ch. 8 
Wednesday, March 04, 2014 
Estimation in Sampling 

Friday, March 06, 2014 
Estimation in Sampling 
Exercise 5: chapter 8 

7 



Ch. 9 
Monday, March 09, 2014 
Elements of Inferential Statistics 


Wednesday, March 11, 2014 
Elements of Inferential Statistics 


Friday, March 13, 2014 
Exam 2 chapters 6, 7, and 8 

8 



Monday, March 16, 2014 
SPRING BREAK 



Wednesday, March 19, 2014 
SPRING BREAK 


Friday, March 20, 2014 
SPRING BREAK 

9 



Ch. 9 
Monday, March 23, 2014 
One sample tests and Two Sample Tests 

Ch. 10 
Wednesday, March 25, 2014 
Two Sample Tests 

Ch. 10 
Friday, March 27, 2014 
Two sample tests 
Exercise 6: chapter 9 and 10 
10 



Ch. 11 
Monday, March 30, 2014 
Three or more sample tests 

Ch. 11 
Wednesday, April 01, 2014 
Three or more sample tests 

Ch. 11 
Friday, April 03, 2014 
Three or more sample tests 
Exercise 7: chapter 11 
11 



Ch. 12 
Monday, April 06, 2014 
Categorical Difference Tests 


Wednesday, April 08, 2014 
Categorical Difference Tests 


Friday, April 11, 2014 
Exam 3 
Lab Practicum 
12 



Ch. 13 
Monday, April 13, 2014 
Inferential spatial statistics; point patterns 

Ch. 14 
Wednesday, April 15, 2014 
Point pattern analysis 

Ch. 14 
Friday, April 17, 2014 
Area pattern analysis 
Exercise 8: chapter 14 
13 



Ch. 15 
Monday, April 20, 2014 
Area pattern analysis, continued 

Ch. 16 
Wednesday, April 22, 2014 
Correlation 

Ch. 16 
Friday, April 24, 2014 
Correlation, continued 
Exercise 9: chapter 16 
14 



Ch. 17 
Monday, April 27, 2014 
Linear regression 

Ch. 17 
Wednesday, April 29, 2014 
Linear regression, continued 

Ch. 18 
Friday, May 01, 2014 
Multivariate regression 
Exercise 10: chapter 17 
15 




Monday, May 04, 2014 
Multivariate regression, continued 


Wednesday, May 06, 2014 
Mop up 






Friday, May 08, 2014 
Exam Review 
Lab Practicum 

















Tuesday, May 20, 2013 
Final
Exam 10:451:15 
