GIS 331 Advanced Topics In GIS

School of Environment and Geomatics

In GIS 331 Advanced GIS Application we will learn about and practice applying GIS to spatial problems; arguably one of the most challenging parts of putting this powerful technology into action. We will focus on GIS for Health Analysis as well as other applications of GIS (such as crime analysis) by utilizing sophisticated analysis techniques including hotspot analysis, Getis-Ord G* statistic, exploratory regression, Ordinary Least Squares (OLS) and Geographically weighted regression (GWR).

Prerequisites: Admissions into ADGIS/BGIS program

Accessibility Services Notice

Students who would like an academic accommodation and who have a documented disability should contact Accessibility Services, if they have not already done so.

Transfer Agreements

Course to Course transfer – NoBlock Transfer – Nobctransferguide.ca
Course Details
Total number of weeks15
Total Credits
Total Hours45
Typical hours per week breakdown
Lecture3

Learning Outcomes

Upon successful completion of this course, the learner will be able to:

  1. Apply GIS to several spatial problems
  2. Design data preparation andadvanced techniques in order to achieve a geospatial solution
  3. Develop perspectives on GIS, including the pros and cons, as both a decision support technology and a research tool

Teaching and Learning Approach

The course will include a mix of theory, discussion, demonstration, guided application, and independent study.

Learning Resources

Required: Handouts and assigned readings

Detailed Course Content, Topics, and Sequence Covered

1. Overview of course, Introduction to spatial analysis 2. Data aggregation 3. Using GIS for identifying spatial patterns 4. Identifying the location of Clusters , generating heat maps 5. Identifying relationships (OLS/Exploratory Regression) 6. Geographically Weighted Regression, Machine learning regression - Random Forest 7. Reading Week - No classes 8. Temporal patterns 9. Temporal Forecasting 10. Mid Term 11. Term Project : Using GIS to determine whether Hep C is related to socioeconomic variables

Assessment

TitleLearning OutcomesValue
Task 1 Lab assignments60%
Task 2 Term Project 125%
Mid Term15%
Total100%

Grading Table

Standard Academic and Career Programs Grading Table

PercentageLetter GradeGPA
90-100A+4.33
85-89A4.00
80-84A-3.67
76-79B+3.33
72-75B3.00
68-71B-2.67
64-67C+2.33
60-63C2.00
55-59C-1.67
50-54P1.00
0-49F0.00
DNW0.00

See the Academic Calendar for General Information including how to withdraw from course(s) and other regulations.

Disclaimer

Information contained in this course outline is correct at the time of publication. Content of the course is revised on an ongoing basis to ensure relevance to changing educational, employment and market needs. The instructor will endeavor to provide notice of changes to students as soon as possible. The instructor reserves the right to add or delete material from courses.