Course Description
Problem solving using geographic information systems (GIS). Essential distributed computing aspects of GIS are presented. Among topics covered are the use of logic in spatial analysis, line-of-sight analysis, route selection, site selection and landscape analysis. Hands-on assignments are emphasized.
Distribution Requirement: Science
Lecture hours: 24
Practicum hours: 24
Prerequisite: 8.5 credits and GGR278H5
Recommended: GGR276H5
Data processing data is a core GIS skill, while Python is the industry-leading programming language. Combined, students will learn the cornerstone skills for a career in GIS.
Dr. Matthew Adams
Core Skills Developed
- Raster Data Processing
- Introduction to Python Scripting
- Logical and Multi-Criteria Decision Making
- Terrain Analysis