SPA313 Advanced GIS Applications and Modelling (8)

CSU Discipline Area: Spatial Science (SPASC)

Duration: One session.

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. The subject contains a total estimated workload of 160 hours.

+ Subject Availability Modes and Locations

Session 2
Distance	Albury-Wodonga

Continuing students should consult the SAL for current offering details: SPA313

Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Objectives:

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;
plan the steps required to turn a spatial analysis solution into a deliverable such as an application or plug-in;
use, and intelligently convert between, vector, raster, 3d and network modelling approaches;
incorporate uncertainty and error into confidence metrics for model output;
utilize published research in specialist application areas to develop models using mathematics and spatial analysis.

Syllabus:

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.

Specialised Resources

Students are expected to be able to gain access for a significant amount of the session to an IBM PC or one of its many variants.

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