Data Types & Spatial Data Models

We use data models represent phenomena in a GIS. A data model is just a simplified abstractions of reality.

Learning Outcomes

Lecture

• Overview of different types of phenomena
• Overview of different types of data
• Differentiate between raster and vector data models.
• Learn how each model represents space and stores attributes.
• Learn which types of models are best suited for different applications.
• Overview of data resolution and how it relates to scale.

Lab

• Experience a Typical GIS Workflow
• Explore Canadian Census Data
• Download Data from Google Earth Engine
• Work with Raster and Vector Data Layers
• Conduct Spatial Analysis
• Normalize and Classify Data
• Create Charts

Deliverables

Every module will be scored out of 100 pts. For this module will be be submitting one map and a some written responses. You will also be taking a quiz consisting of multiple choice, numeric input, fill in the blank, etc. type questions. See the assessment page.