No offerings have been identified for this subject in 2017
SPA513 Advanced GIS Applications and Modelling (8)
Abstract| 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 session | HD/FL | School of Environmental Sciences |
|
|
Learning OutcomesUpon 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. |
|
|
SyllabusThe 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. |
|
|
Back
The information contained in the 2017 CSU Handbook was accurate at the date of publication: 25 August 2017. The University reserves the right to vary the information at any time without notice.
