DRAFT 2008 syllabus.
Course Description:
The primary objective of this course is to familiarize you with basic concepts and methods used in spatial analysis, a field which spans many related disciplines and
which brings together many tools for analyzing explicitly and implicitly spatial data. Spatial analysis provides the quantitative tools that have formed the bases for
modern quantitative analysis in fields such as geography, location analysis, regional economics, and many physical sciences requiring the analysis of spatially-separated
phenomena. This course focuses on statistical analysis and spatial statistics, since these methods are crucial to anyone with spatially-oriented problems to solve in today's
highly quantitative, statistically-oriented world.
Course Grading (3000 points total):
(1) Five exams * 300 points each = 1500 points total
(2) Fifteen homework exercises * 100 points each = 1500 points total
(3) Daily Class Attendance -- each unexcused absence results in a 7 point deduction from your course total.
Grading scale: A >= 90% (2700 pts.), B >= 80% (2400), C >= 70% (2100), D >= 60% (1800)
Course Materials:
The text is Statistical Problem Solving in Geography, 2nd edition, by J. Chapman McGrew, Jr. and Charles Monroe, which has
a companion workbook that contains the homework exercises. A course reading packet is also required.
Course Schedule:
Introduction to Course
Ch. 1-2: Spatial Statistics and Geographic Data
Ch. 3-4: Descriptive Statistics
Ch. 5: Probability Theory
Ch. 6-7: Sampling
Ch. 8-10: Difference Tests
Ch. 11: Goodness-of-Fit Tests
Ch. 12: Inferential Spatial Statistics
Ch. 13-14: Correlation and Regression
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Last Updated: January 30 2008
Oklahoma State University
Department of Geography
Stillwater, OK 74078