No offerings have been identified for this subject in 2016

SPA513 Advanced GIS Applications and Modelling (8)


This capstone subject challenges the student to utilize their entire learned spatial toolbox on several real-world modelling problems. The subject teaches students how to turn tools into models, and introduces the idea of developing applications from those models. Students will employ vector, raster, 3-dimensional and network analysis to provide creative solutions to the planning problems. Tasks will be tackled in a structured manner, using flowcharting, project management methods, extensive background research and formal reporting. Project cost analysis and proposal development will also be addressed, as well as uncertainty management.

+ Subject Availability Modes and Location

Continuing students should consult the SAL for current offering details prior to contacting their course coordinator: SPA513
Where differences exist between the handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject information

Duration Grading System School:
One sessionHD/FLSchool of Environmental Sciences

Assumed Knowledge


Learning Outcomes

Upon successful completion of this subject, students should:
Be able to lead a spatial analysis project through its entire life cycle, from concept to solution and final report;
Be able to plan the steps required to turn a spatial analysis solution into a deliverable such as an application or plug-in;
Be able to comfortably use, and intelligently convert between, vector, raster, 3d and network modelling approaches;
Be able to incorporate uncertainty and error into confidence metrics for model output;
Be able to utilize published research in specialist application areas to develop models using mathematics and spatial analysis.


The subject will cover the following topics:
Project management, including cost analysis; Process flowcharting and model design; Report and proposal writing; Types of spatial models; Model/software integration; Practical uncertainty management; Three-dimensional, raster, network and vector modelling tools.


The information contained in the 2016 CSU Handbook was accurate at the date of publication: 06 September 2016. The University reserves the right to vary the information at any time without notice.