Methods for collecting, storing, and organizing spatial data in geomatics workflows.
About this course
Geomatics professionals work with massive amounts of spatial data every day. This course teaches you how to collect, store, and organize that data so it is accurate, secure, and easy to use. You will learn the methods that keep geospatial information reliable from the field to the final map.
You will work with real survey and remote sensing datasets. You will learn how to clean the data, remove errors, and apply metadata standards so other professionals can understand and use your work. The course covers both the theory behind data management and the practical software skills you will need in your career.
Who takes this course
This course is required for students in the Geomatics Technician program.
Credits: 3 · Hours: 45
Prerequisites
None
Learning outcomes
- Identify the primary data structures used in geospatial information systems.
- Create and manage relational databases for spatial data.
- Import, clean, and validate survey and remote sensing datasets.
- Apply metadata standards to ensure data discoverability and reuse.
- Execute basic spatial queries using SQL and GIS software.
Evaluation
| Component | Weight (%) |
| Database design project | 30 |
| Data cleaning and validation lab | 25 |
| Midterm exam | 20 |
| Final exam | 25 |