GGR321H5 Geographic Information Processing

GGR321 Course Desciption

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.

Credits: Science

Lecture hours: 24

Practicum hours: 24

Prerequisite: 9.0 credits including GGR278H5

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