Detailed Course Outline (pdf): Download the detailed course outline which includes assessment activities, course policies, and a course calendar.
Professor: Arthur Gill Green
Contact Info: email@example.com
Office Hours: Monday 14h00-15h00 or by appointment
Lecture Times and Locations: Monday 830-950 (E212) & Wednesday 830-950 (E401)
Lab Time and Location: Wednesday 1530-1820 (E401)
Course Website: http://greengeographer.com/teaching/geographicdataanalysis/
Course ID: Okanagan College GEOG 270
Student grades are available on Moodle.
Introduction to descriptive and inferential statistical analysis in geography. Topics include descriptive statistics, elementary probability, statistics for spatial analysis, hypothesis testing, analysis of variance, correlation and regression. We also evaluate the ethics of geographic data (what is geographic data in a world of changing technology), visualization of geographic data, and communication of geographic data analysis results.
The course is intended to introduce students to basic statistical methods used in spatial and non-spatial analyses. The course focuses on helping students understand their data, describe their data, select an appropriate statistical test, use common software packages to run that test, and interpret results. On completion of this course, the student will be able to:
- Apply basic statistical and spatial analysis methods.
- Design research questions.
- Identify appropriate data types.
- Gather sample data.
- Select appropriate tests for parametric, non-parametric, and spatial data.
- Conduct basic analyses using different statistical software packages.
- Interpret statistical output.
- Produce analytical reports that answer simple research questions.
- Present results in a professional format.
Below you can access required readings, lecture notes, and other materials for each week of the course. All materials posted below (videos, podcasts, etc.) may be on the exams. We will be drawing primarily from open textbooks in addition to materials that the instructor creates. The primary readings are:
- Illowsky and Dean’s Open Stax Introductory Statistics
- Dibiase’s The Nature of Geographic Information
- Campbell and Shin’s Geographic Information System Basics
- de Smith, Goodchild, Longley’s Geospatial Analysis
- Additional required materials will be drawn from open textbooks, online publications, videos, and podcasts.
If you would like to see a more detailed course outline (policies, calendar, etc.) you can download it from the top of this page as a pdf.