Syllabus Fall 2022
| Instructor: | Anthony Jjumba | anthony.jjumba@unbc.ca |
| SLI: | Matt McLean | matt.mclean@unbc.ca |
| Lectures: | Thursday: 10:00 – 11:20 | |
| Labs: | Monday: 15:00 – 17:50 |
Course Description
This lab-based course introduces advanced GIS concepts and technical skills related high accuracy data collection, database management systems, and the Geoweb. In addition, the students will explore advanced methods of analysing geographic data.
Leaning Objectives:
The students will learn about the various methods of collecting and analysing geographic data. Drawing on various statistical methods, they will also gain insight into the nature of the spatial patterns existing in geographic phenomena. They will also develop skills for working with spatial databases; web-based tools for storing retrieval and display of geographic data; and ArcGIS and RStudio software.
Course Schedule:
| Lesson | Lecture Topic | Labs |
| September | ||
| 7 – 9 | High accuracy RTK data collection | No Labs |
| 12 – 16 | Geographic Data and Statistical Techniques | RTK setup and data collection |
| 19 – 23 | Database Management Systems | RTK data post-processing (Lab Submission 1) |
| 29 – 30 | Database Management Systems | PostgreSQL and PostGIS (Lab Submission 2) |
| October | ||
| 3 – 7 | GeoWeb || Landscape Structure and Metrics | PostgreSQL and PostGIS (Lab Submission 3) |
| 10 – 14 | Sampling Methods || Midterm Exam (Oct 13th) | Thanksgiving |
| 17 – 21 | Multivariate Exploratory Data Analysis | Working with Leaflet (Lab Submission 4) |
| 24 – 28 | Pattern Analysis | PCA Using RStudio (Lab Submission 5) |
| November | ||
| 31 Oct – 4 Nov | Spatial autocorrelation | K-Means clustering using RStudio (Lab Submission 6) |
| 7 – 11 | Regression Analysis | Moran’s I, Local Moran’s I (Lab Submission 7) |
| 14 – 18 | Simulation Modelling | Bivariate Analysis (Lab Submission 8) |
| 21 – 25 | Spatial Decision Support Systems | (NetLogo Lab Submission 9 – GEOG 613) |
| December | ||
| 28 Nov – 2 Dec | Course Review || Final Exam (Dec 1st) | Student Projects |
| 5 – 9 | Project Submission (Dec 6th) | Student Projects |
Literature Review Instructions (Student Paper)
GEOG-413 Grading Scheme
| Lab Assignments (8) | 35% | Due Weekly |
| Mid-term | 15% | |
| Student Projects | 20% | |
| Student Paper | 10% | |
| Final Exam | 20% |
GEOG-613 Grading Scheme
| Lab Assignments (9) | 40% | Due Weekly |
| Mid-term | 10% | |
| Student Projects | 20% | |
| Student Paper | 15% | |
| Final Exam | 15% |