M.INC.ERST.606: Advanced Geographic Information Systems A

Learning outcome:

ERST 606 examines Geographic Information Systems in the modelling and analysis of spatial problems. It looks at data quality and collection issues, and techniques of spatial analysis for both the raster and vector models emphasising natural resource based applications.
The aim of ERST 606 is to introduce students to the advanced capabilities and limitations of geographic information systems with a special emphasis on resource analysis and including the technologies of remote sensing and GPS.

  • Introduction/What is GIS?
  • Maps and Cartography
  • Spatial Thinking
  • Data Issues
  • Vector GIS
  • Vector Topology
  • Aerial photos as basemaps
  • Raster GIS
  • Boolean Operation
  • Combining Overlays
  • DEMs/Neighbourhood Analysis
  • Viewshed Analysis
  • GPS and GIS
  • Remote Sensing and GIS

Courses and examinations
Vector Project Report (25 %), Raster Project Report (25 %), Independent
Project Report (40 %), Project Presentation (10 %)

Prerequisite for examination:
On successful completion of the subject, the student will be able to:
1. Distinguish between raster and vector data models in GIS
2. Critically select available spatial analysis techniques to the raster and vector
models and justify their use
3. Critically apply data quality principles to GIS analysis
4. Demonstrate proficiency with ArcGIS software through successful analysis and
map production

Admission requirements:

Recommended previous knowledge:


Person responsible for module:
Crile Doscher

Course frequency:
Academic Term each winter semester

One semester

Number of repeat examinations permitted:

Recommended Semester:
First to third semester

Maximum number of students: